International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
In this research work we have developed a strategy in which the various parameters that influence the occurrence of pulmonary disease have been gathered from survey of doctors who specialize in diagnoses of pulmonary disease and diagnostic recipes involving if the else rules were built and given labels, which were used as target for machine learning algorithms [Logistic , SVM, RBF, Naïve Bayes ] for identification of input dataset of symptoms of subjects . Multiple designs of these classifiers were implemented and best possible machine algorithm was identified for implementing the complete methodology. Results shows that there was no absolute answer for the design and selection of best possible machine algorithm as evident from the results based on multiple statistical tests, therefore , distance from ideal values of statistical test to find best classifier with most optimized parameters was calculated and the classifier which had closest to these ideal values was found and declared the best classifier for identification of pulmonary diseases presence or absence .as per results naïve bayes classifier is performing best which is evident from the statistical test scores .
Teaching issues acc and neurotechnology lessons drug preventionJacob Stotler
Teaching Technique: Functional connectivity of the Anterior Cingulate Cortex, error awareness and the effects of inhibition on the ACC from drug use / Nuerofeedback approaches to Bio-technologies and bio-engineering.
A study on “Diagnosis Test of Diabetics and Hypertension by AI”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
Diagnoses from an on-line expert system for chronic pain confirmed by intra-o...Nelson Hendler
The Diagnostic Paradigm from www.MarylandClinicalDiagnostics.com is an on-line expert system, which gives diagnoses with a 96% correlation with diagnoses of Johns Hopkins Hospital doctors. To further confirm the accuracy of the Diagnostic Paradigm, a professor of neurosurgery from the University of Rome found 100% of the time, his intra-operative findings confirmed the diagnoses of the Diagnostic Paradigm. The Diagnostic Paradigm can be used to get pre-authorization for surgery from insurance companies, since it documents medical necessity
In this research work we have developed a strategy in which the various parameters that influence the occurrence of pulmonary disease have been gathered from survey of doctors who specialize in diagnoses of pulmonary disease and diagnostic recipes involving if the else rules were built and given labels, which were used as target for machine learning algorithms [Logistic , SVM, RBF, Naïve Bayes ] for identification of input dataset of symptoms of subjects . Multiple designs of these classifiers were implemented and best possible machine algorithm was identified for implementing the complete methodology. Results shows that there was no absolute answer for the design and selection of best possible machine algorithm as evident from the results based on multiple statistical tests, therefore , distance from ideal values of statistical test to find best classifier with most optimized parameters was calculated and the classifier which had closest to these ideal values was found and declared the best classifier for identification of pulmonary diseases presence or absence .as per results naïve bayes classifier is performing best which is evident from the statistical test scores .
Teaching issues acc and neurotechnology lessons drug preventionJacob Stotler
Teaching Technique: Functional connectivity of the Anterior Cingulate Cortex, error awareness and the effects of inhibition on the ACC from drug use / Nuerofeedback approaches to Bio-technologies and bio-engineering.
A study on “Diagnosis Test of Diabetics and Hypertension by AI”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
Diagnoses from an on-line expert system for chronic pain confirmed by intra-o...Nelson Hendler
The Diagnostic Paradigm from www.MarylandClinicalDiagnostics.com is an on-line expert system, which gives diagnoses with a 96% correlation with diagnoses of Johns Hopkins Hospital doctors. To further confirm the accuracy of the Diagnostic Paradigm, a professor of neurosurgery from the University of Rome found 100% of the time, his intra-operative findings confirmed the diagnoses of the Diagnostic Paradigm. The Diagnostic Paradigm can be used to get pre-authorization for surgery from insurance companies, since it documents medical necessity
Decide treatment - a new approach to better healthØystein Eiring
Better treatment, better health! People often experience suboptimal health because treatment is not optimal. A new approach is being developed - enabling patients and doctors to improve treatment and improve health.
Predicting Chronic Kidney Disease using Data Mining Techniquesijtsrd
Kidney is a significant aspect of a human body. Kidney infection or disappointments are expanded in every year. Presently a day’s chronic kidney infection is the most well known disease for the individuals. Today numerous individuals pass on due to chronic kidney disease. The principle issue of CKD is, it will influence the kidney gradually. A few people dont have side effects at all and are analysed by a lab test. It depicts the steady loss of kidney work. Early recognition and therapy are viewed as basic variables in the management and control of chronic kidney disease. Data mining techniques is utilized to extract data from clinical and laboratory, which can be useful to help doctors to recognize the seriousness stage of patients. Using Probabilistic Neural Networks PNN algorithm will get better prediction for determining the severity stage of chronic kidney disease. Seethal V | Kuldeep Baban Vayadande "Predicting Chronic Kidney Disease using Data Mining Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37974.pdf Paper URL : https://www.ijtsrd.com/computer-science/data-miining/37974/predicting-chronic-kidney-disease-using-data-mining-techniques/seethal-v
Austin Ophthalmology is an open access, peer reviewed, scholarly journal dedicated to publish articles covering all areas of Ophthalmology.
The journal aims to promote latest information and provide a forum for doctors, researchers, physicians, and healthcare professionals to find most recent advances in the areas of Ophthalmology. Austin Ophthalmology accepts research articles, reviews, mini reviews, case reports and rapid communication covering all aspects of Ophthalmology.
Austin Ophthalmology strongly supports the scientific up gradation and fortification in related scientific research community by enhancing access to peer reviewed scientific literary works. Austin Publishing Group also brings universally peer reviewed journals under one roof thereby promoting knowledge sharing.
Systems Medicine: an introduction to the application of systems biology to health care applications. A prime for engineers, physicist, and mathematicians interested in a career in biomedicine
SLC CME- Evidence based medicine 07/27/2007cddirks
Saint Luke's Care, a quality improvement organization within Saint Luke's Health System, presents a CME presentation by Dr. Brent Beasley on Evidence Based Medical Care.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Decide treatment - a new approach to better healthØystein Eiring
Better treatment, better health! People often experience suboptimal health because treatment is not optimal. A new approach is being developed - enabling patients and doctors to improve treatment and improve health.
Predicting Chronic Kidney Disease using Data Mining Techniquesijtsrd
Kidney is a significant aspect of a human body. Kidney infection or disappointments are expanded in every year. Presently a day’s chronic kidney infection is the most well known disease for the individuals. Today numerous individuals pass on due to chronic kidney disease. The principle issue of CKD is, it will influence the kidney gradually. A few people dont have side effects at all and are analysed by a lab test. It depicts the steady loss of kidney work. Early recognition and therapy are viewed as basic variables in the management and control of chronic kidney disease. Data mining techniques is utilized to extract data from clinical and laboratory, which can be useful to help doctors to recognize the seriousness stage of patients. Using Probabilistic Neural Networks PNN algorithm will get better prediction for determining the severity stage of chronic kidney disease. Seethal V | Kuldeep Baban Vayadande "Predicting Chronic Kidney Disease using Data Mining Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37974.pdf Paper URL : https://www.ijtsrd.com/computer-science/data-miining/37974/predicting-chronic-kidney-disease-using-data-mining-techniques/seethal-v
Austin Ophthalmology is an open access, peer reviewed, scholarly journal dedicated to publish articles covering all areas of Ophthalmology.
The journal aims to promote latest information and provide a forum for doctors, researchers, physicians, and healthcare professionals to find most recent advances in the areas of Ophthalmology. Austin Ophthalmology accepts research articles, reviews, mini reviews, case reports and rapid communication covering all aspects of Ophthalmology.
Austin Ophthalmology strongly supports the scientific up gradation and fortification in related scientific research community by enhancing access to peer reviewed scientific literary works. Austin Publishing Group also brings universally peer reviewed journals under one roof thereby promoting knowledge sharing.
Systems Medicine: an introduction to the application of systems biology to health care applications. A prime for engineers, physicist, and mathematicians interested in a career in biomedicine
SLC CME- Evidence based medicine 07/27/2007cddirks
Saint Luke's Care, a quality improvement organization within Saint Luke's Health System, presents a CME presentation by Dr. Brent Beasley on Evidence Based Medical Care.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
A PROPOSED NEURO-FUZZY MODEL FOR ADULT ASTHMA DISEASE DIAGNOSIScscpconf
The task of medical diagnosis with the help different intelligent system techniques is always crucial because it require high level of accuracy and less time consumption in decision making.
Among all other AI techniques Artificial Neural Networks (ANN) as a tool for medical diagnosis has become the most popular in last few decades due to its flexibility and accuracy. ANN was
developed after getting the inspiration from biological neurons. There are various diseases that are still needed to be diagnosed. Among many other critical diseases like cancer, thyroid disorder, diabetes, heart diseases, neuro diseases, asthma disease was also tried to bediagnosed
effectively with various ANN mechanisms by different researchers. Due to various uncertainties about symptoms the study of Neuro-Fuzzy technique in this context became very popular in last few years. Neuro-Fuzzy now-a-days is one of the most advanced technique that is mainly concatenation of two model-neural networks and the fuzzy logic. In this model various
parameters are used that are much crucial if ill-chosen and may led to failure of the whole system. Recent trend in analysis is following this model for advanced expert work. In this study
an enhanced Neuro-fuzzy model has been proposed for the proper diagnosis of adult Asthma disease and to foster the proper aid or medication to the patients and make physicians alert forthe upcoming disease pattern otherwise they may lack in the process of providing improper medication at right time. In the first phase data collected from various hospitals are used to
train by three different types of learning of ANN like ANN with Self Organizing Maps (SOM),ANN with Learning Vector Quantization (LVQ) and ANN with Backpropagation Algorithm
(BPA) through NF tool for much accurate result. In the second phase fuzzy rule base is appliedto the classified data for the diagnosis of the disease.
Dochelp-An artificially intelligent medical diagnosis systemTejaswi Agarwal
Dochelp-An artificially intelligent medical diagnosis system is a project for the course on Artificial Intelligence for the Spring 2012 semester during the sophomore year.
Knowledge Base System in Medicine with Special Reference to Consulting PhysicianIJESM JOURNAL
Knowledge is the fact or condition of knowing something with familiarity gained through experience or association. A Knowledge base system is also known as expert system. It is a computer program that contains some of the subject-specific knowledge, and contains the knowledge and analytical skills of one or more human experts. This paper deals with the deals with the development of knowledge base system in medicine which is able to give an appropriate diagnosis for all the diseases with fever as one symptom. A Knowledge-based system assists in the diagnosis of diseases to doctor in some critical cases. It also improves quality of decision making and speed-up of human professional work.
Data Science Deep Roots in Healthcare IndustryDinesh V
Data Science transforms the healthcare industry with impeccable solutions that can improve patient care through EHRs, medical imaging, drug discovery, predictive medicines and genetics and genomics.
Johns Hopkins Hospital doctors report that 40%-80% of chronic pain patient are misdiagnosed, and that MRIs and CTs miss pathology 56%-78% of the time, Therefore, during extensive chart reviews of current medical data will produce a classic case of GIGO-garbage in giving garbage out. The need for accurate diagnoses and testing is critical for AI to work.
Data Science in Healthcare" by authors Sergio Consoli, Diego Reforgiato Recupero, and Milan Petkovic is an insightful guide that delves into the intersection of data science and healthcare. As a first-year student in Pharmaceutical Management, I found this book to be a valuable resource for understanding how data-driven approaches are transforming the healthcare industry, offering fresh perspectives and practical insights for future professionals like myself.
Discussion post reply APA Format2 references for each discussiLyndonPelletier761
Discussion post reply
APA Format
2 references for each discussion post with intext citation.
Make it short and simple.
Post # one
Misty B
I have chosen to become a Psychiatric Mental Health Nurse Practitioner. I chose this path because I feel God is calling me to help guide and mentor people through this age of transition. With the increase of the digital age, social media specifically, and the COVID Pandemic, peoples’ mental health needs need to be cared for in a better manner than how they are currently being managed. “The role of the PMHNP is to assess, diagnose and treat the mental health needs of patients. Many PMHNPs provide therapy and prescribe medication for patients who have mental health disorders or substance abuse problems.” (American Association of Nurse Practitioners, n.d.) I believe your overall health begins with a healthy mind. When your mental health is not healthy you can spiral out of control and turn to substances (illicit drugs, alcohol, food, etc.) or self-harm. This can lead to other health problems such as obesity, diabetes, cardiovascular disorders, liver disorders, kidney disorders, etc. I feel as a PMHNP I will be able to start with the root cause of a patient’s overall health. I waxed and waned with my decision between a PMHNP and FNP. I feel starting with PMHNP is the best option for me at the moment and continuing afterward to have a dual certification as an FNP.
Professional Organization
“Another factor essential to a nurse’s professional development is active membership in 1 or more professional organization. Memberships provide exposure and access to education resources (eg, websites, webinars, publications, and conferences) and rewarding networking opportunities with peers and colleagues.” (Cherry et all, 2019)
Having been a member of the Emergency Nurses Association (ENA) for 8 years, I too feel it is important to become a member of your of an association for your nursing specialty. I have chosen to become a member of the American Psychiatric Nurses Association. Their mission statement and beliefs are parallel to my own.
APNA is committed to the practice of psychiatric-mental health nursing, health and wellness promotion through identification of mental health issues, prevention of mental health problems, and the care and treatment of persons with mental health disorders. APNA champions psychiatric-mental health nursing and mental health care through the development of positions on key issues, the dissemination of current knowledge and developments in PMH nursing, and collaboration with stakeholders to promote advances in recovery-focused assessment, diagnosis, treatment, and evaluation of persons with mental health disorders. (American Psychiatric Nurses Association, n.d.)
Becoming a member was as easy as going to their website www.apna.org and selecting your membership type, fill in the required information, and pay the fee. Being a member will give me access to educational oppo ...
Detection of myocardial infarction on recent dataset using machine learningIJICTJOURNAL
In developing countries such as India, with a large aging population and limited access to medical facilities, remote and timely diagnosis of myocardial infarction (MI) has the potential to save the life of many. An electrocardiogram is the primary clinical tool utilized in the onset or detection of a previous MI incident. Artificial intelligence has made a great impact on every area of research as well as in medical diagnosis. In medical diagnosis, the hypothesis might be doctors' experience which would be used as input to predict a disease that saves the life of mankind. It is been observed that a properly cleaned and pruned dataset provides far better accuracy than an unclean one with missing values. Selection of suitable techniques for data cleaning alongside proper classification algorithms will cause the event of prediction systems that give enhanced accuracy. In this proposal detection of myocardial infarction using new parameters is proposed with increased accuracy and efficiency of the existing model. Additional parameters are used to predict MI with more accuracy. The proposed model is used to predict an early diagnosis of MI with the help of expertise experiences and data gathered from hospitals.
What is Medical Lab Technology, Difference between Treatment, Prognosis and Diagnosis, Role of Doctor or Physician and Medical Lab Technologist, Vital Signs, Significance of Vital Signs Assessment, Difference Between Signs and Symptoms in Patient Assessment, Example Case Study on Signs and Symptoms, Definition of Disease, Definition of Illness, Definition of Infection, Factors Contributing to Disease, Introduction to Factors Contributing to Disease, Types of Samples that Can be Collected from Patients for Clinical Diagnosis, Additional Types of Samples for Clinical Diagnosis.
Diagnosis of some diseases in medicine via computerized experts systemijcsit
Nowadays medical application especially diagnosis of some heart diseases has been rapidly increased
because its importance and effectiveness to detect diseases and classify patients. In this research, we
present the design of an expert system that aims to provide the patient with background for suitable
diagnosis and treatment (Especially Angina Pectoris and Myocardial infarction). The proposed
methodology is composed of four stages. The first stage is receiving the symptoms from the patient. The
second stage is requesting from the patient to make some analysis and investigation to help the system to
make a correct decision in the diagnosis. The third stage is doing diagnosis of patient according to
information from patient (symptoms, analysis and investigation). The four stage is determining the name of
appropriate medication or what should be done until the patient recovers (step therapy), so this system is
able to give appropriate diagnosis and treatment for two heart diseases namely; angina pectoris and
infarction. There are several programs used for diagnosis and system analysis, such as CLIPS and
PROLOG. A medical expert system in this search made by Visual Prolog 7.3 is proposed.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
1. Shashank Mahajan, Gaurav Shrivastava / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.2229-2231
2229 | P a g e
Effective Diagnosis of Diseases through Symptoms Using Artificial
Intelligence and Neural Network
Shashank Mahajan*, Gaurav Shrivastava**
*(Research Scholar, Department of Information Technology, SVITS,Indore)
** (Asst. Professor, Department of Information Technology, SVITS,Indore)
ABSTRACT
In this Research paper is based on
artificial intelligence. Artificial Intelligence means
learn by knowledge. In this research mechanism
for artificial doctor that based on knowledge
based. This artificial doctor has the capability to
give possibilities of all diseases on the basis of
symptoms of patient. It’s like an assistant doctor
with more intelligent’s. This mechanism asks the
patient about the symptoms. On the basis of those
symptoms it will suggest about the possibilities of
diseases. This mechanism helps to doctor to
identify the disease of the patient. It will also ask
about the previous and family history. This
mechanism gave the result by studying the
previous treatment also, so it takes every
possibility of diseases. And it will also alert the
doctor for the medicine which cannot be given to
the patient.
Keywords – Artificial Neural Networks, General
Disease Diagnosis, Medical Diagnosis, Medical
Knowledge, Neural Networks
I. INTRODUCTION
MEDICAL diagnosis always has been an
art: we remember famous doctors as well as famous
painters or composers throughout the history. Again,
who is called an artist? A person who can carry out
something those others cannot, and that is exactly
what a good physician does during a medical
diagnosis procedure. He (or she) employs his
educations, experiences, and talent, to diagnose a
disease. A diagnosis procedure usually starts with the
patient complaints and the doctor learn more about
the patient situation interactively during an interview,
as well as by measuring some metrics such as blood
pressure or the body temperature. The diagnosis is
then determined by taking the whole available
patients status into the account. [1]
AI doctors different from human doctors
but they aren’t limited by human capacity. AI
doctors, having millions of points of data to draw on,
will remember where a human doctor might forget.
Because of this, they are in theory designed for more
accurate diagnosis. AI doctors also do not need to
sleep or eat and do not get sick themselves. This
means they can work 24/7, stay alert the whole time
and may cut costs for the hospital they work.
II. LITERATURE SURVEY
1.1 Hypertension is a disease that affects a wide
range of the population, particularly the elderly
after the age of 55. Hypertension is caused by
Blood Pressure. Blood Pressure is the force of
blood pushing against blood vessel walls. The
heart pumps blood into the arteries (blood
vessels), which carry the blood throughout the
body. If blood pressure is extremely high, there
may be certain symptoms such as Severe
headache, Fatigue, disorientation, Vision
problems, Chest pain, Difficulty in breathing,
irregular heartbeat and Blood in the urine .
Hypertension can cause Stroke, Heart failure,
Heart attack, Kidney failure and Vision
problems. Men have a greater likelihood of
developing high BP than women. This varies
according to age and among various ethnic
groups. In some cases, computer-based assisted
diagnoses have been claimed to be even more
accurate than those by clinicians. Predicting the
outcome of it is one of the most interesting and
challenging tasks in which a Neural Network
application is developed. Neural Networks are
well suited to problems that people use good at
solving but for which computers are not. Neural
Networks provide a very general way of
approaching problems.[2]
1.2 The diagnosis of diseases is a vital and intricate
job in medicine. The recognition of heart disease
from diverse features or signs is a multi-layered
problem that is not free from false assumptions
and is frequently accompanied by impulsive
effects. Thus the attempt to exploit knowledge
and experience of several specialists and clinical
screening data of patients composed in databases
to assist the diagnosis procedure is regarded as a
valuable option. This research work is the
extension of our previous research with
intelligent and effective heart attack prediction
system using neural network. A proficient
methodology for the extraction of significant
patterns from the heart disease warehouses for
heart attack prediction has been presented.
Initially, the data warehouse is pre-processed in
order to make it suitable for the mining process.
Once the preprocessing gets over, the heart
disease warehouse is clustered with
2. Shashank Mahajan, Gaurav Shrivastava / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.2229-2231
2230 | P a g e
the aid of the K-means clustering algorithm,
which will extract the data appropriate to heart
attack from the warehouse. Consequently the
frequent patterns applicable to heart disease are
mined with the aid of the MAFIA algorithm
from the data extracted. [3]
1.3 An artificial neural network in typical disease
diagnosis has been investigated. The real
procedure of medical diagnosis which usually is
employed by physicians was analyzed and
converted to a machine implementable format.
Then after selecting some symptoms of eight
different diseases, a data set contains the
information of a few hundred cases was
configured and applied to a MLP neural network.
The results of the experiments and also the
advantages of using a fuzzy approach were
discussed as well. Outcomes suggest the role of
effective symptoms selection and the advantages
of data fuzzificaton on a neural networks-based
automatic medical diagnosis system.[1]
III. MEDICAL DIAGNOSIS
PROBLEMS
The major task of medical science is to
prevent and diagnosis of the correct diseases. Here
our Focus is the second task, which as mentioned
before, is not a direct and simple task at all.[1]
Generally doctor does not remember each and
everything. In some cases, sometimes doctor
takes the patient symptoms normally, they don’t
take much care about to identify the particular
disease and as they find the disease they are too
late to cure it.
As consider, in some cases sometimes doctor or
the patient take the tumor normally and treat it
normally, as they find later that it is a cancer, at
that time it is too late to cure it. So it is a major
problem.
The quality of diagnosis is totally depends on the
physician talent as well as his/her experiences.
[1]
The training procedure of doctors, in particular
specialists, is a lengthy and expensive one. So
even in developed countries we may feel the lack
of MDs.
IV. PROPOSED SOLUTION
For This Mechanism We Are Giving The
Proposed Solution Flow Chart. In This Flow Chart.
We Are Considered All Possibility Of Condition Of
Patient. Its Helps According To Symptoms and
Identify The Disease.
Fig: Proposed Flow Chart
Chief Complaint: - Chief complaint mean
major problem said by patient .Its 1st
priority of
major symptom. Ex. Fever, Loss of appetite,
Headaches, Chills, Cough, Abdominal pain,
Jaundice, Hair lost, Breathing Problem, Blood
in urine, Weight loss. Etc. [5]
Asking general question, symptoms &
History of present illness:- According to chief
complaint asking general question and its
mechanism find out the other symptoms and
decide the priority of the symptoms
Family History: - Some symptoms indicated to
the genetic diseases so asking family history its
help to conformation of particular diseases.
Patient History:-In Some diseases required the
patient previous history because some
symptoms related to the previous history.
Suggestion for Investigation:-According to
symptoms and analysis of real world data
collection of report its advice to investigation
.after the investigation report is may be correct
diagnosis of particular diseases.
Computation of diseases: - Its phase
computation of Possibilities diseases using
Artificial intelligence (A.I.) And neural
network.
Its computation base of real data collection and
history of previous data.
3. Shashank Mahajan, Gaurav Shrivastava / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.2229-2231
2231 | P a g e
After finalization of Possibilities diseases and also
asking to patient if any medicine is prohibited or bad
reaction to your body. It’s most important suggestion
to doctor giving medicines.
Searching of diseases based on symptoms
priority:-
We are giving another flow chart and work
on neural network, In this flow chart firstly we ask
patient symptoms and according to patient symptoms
we checked the highest priority of symptoms present
in those diseases. And some time some common
symptoms present more than one diseases. In this
condition for confirmation for accurate result we
suggested the investigation of related diseases.
Fig: Symptoms Priority Based Diseases Identify
V. CONCLUSION
Its mechanism help to identify the particular
diseases and In some Cases also identify the serious
diseases those not operate on O.P.D. level, its early
Identify as soon as cure and giving suggestion of
investigation and then it will clear the Diseases are
present or not and its mechanism also helpful for not
experienced doctors. And all general doctor and its
initially level also beneficial for general physician.
physician Feed the symptom and according to
symptoms identifies the disease. Its mechanism helps
doctor’s decision but can’t replace doctor position.
VI. ADVANTAGE
Its mechanism work as real time
environment it’s beneficial in following field-
All Hospitals in O.P.D. level.
General physician.
REFERENCES
[1] S. Moein, S. A. Monadjemi, and P.
Moallem, A Novel Fuzzy-Neural Based
Medical Diagnosis System, International
Journal of Biological and Medical Sciences
4:3, 2009, 146-150.
[2] B. Sumathi, Dr. A. Santhakumaran, Pre-
Diagnosis of Hypertension Using Artificial
Neural Network, Global Journal of
Computer Science and Technology Volume
11 Issue 2,2011
[3] Shantakumar B.Patil, Y.S.Kumaraswamy,
Intelligent and Effective Heart Attack
Prediction System Using Data Mining and
Artificial Neural Network, European
Journal of Scientific Research, Vol.31
No.4,2009,642-656“
[4] Florin Gorunesu, "Data Mining Techniques
in Computer-Aided Diagnosis: Non-
Invasive Cancer Detection," International
Journal of Bioengineering, Biotechnology
and Nanotechnology,Vol.1, No.2, pp.105 -
108, 2008.
[5] R. Silipo and C. Marchesi, "Artificial Neural
Network for automatic ECG analysis", IEEE
transactions on signal processing. . 46(5):
1417-1425.
[6] M.A. Tazi, S.Abir-Khalil, “Risk factors for
hypertension among the adult Moroccan
population”, Eastern Mediterranean health
journal, Vol. 15, No.4, 2009
[7] O. Er, N. Yumusak and F. Temurtas, "Chest
disease diagnosis using artificial neural
networks”, Expert Systems with
Applications, Vol.37, No.12, 2010, pp.7648-
7655.
[8] R. Lin, "An intelligent model for liver
disease diagnosis",Artificial Intelligence in
Medicine, Vol.47, No.1, 2009, pp. 53-62.
[9] D. Gil, M. Johnsson, J. M. Garicia Chemizo,
A S.Paya and D. R. Fernandez, "Application
of Artificial Neural Networks in the
Diagnosis of Urological Dysfunctions",
Expert Systems with Applications, Vol.36,
No.3, 2009,pp. 5754-5760
[10] “SAVILL’S SYSTEM OF CLINICAL
MEDICINE” BY E.C. WARNER.
[11] “COMMON MEDICAL SYMTOPMS” BY
P.J. MEHTA.
[12] GOULD’S POCKET MEDICAL
DICTIONARY.