This document provides a literature review on medical chatbots using deep learning. It begins with an abstract discussing the importance of health and increasing illness rates. Section 1 introduces remote diagnosis and previous work on disease prediction and medical chatbots. Section 2 summarizes related works on botnet detection, occupational health chatbots, personality typing chatbots, response selection models, multi-platform chatbot frameworks, medical assistant chatbots, question answering systems, response generation models, knowledge graph chatbots, educational chatbots, intent classification with video, chatbot management processes, e-learning chatbots, and product information chatbots. The conclusion discusses building on past efforts for medical chatbot deployments.
Medical Assistant Design during this Pandemic Like Covid-19AI Publications
In the current world scenario, individuals square measure additional involved regarding their health. However, it's terribly troublesome to get consultation with the doctor just in case of any health problems. Since the invention of the Coronavirus (nCOV-19), it's become a world pandemic. At an equivalent time, it's been a good challenge to hospitals or health care employees to manage the flow of the high variety of cases. particularly in remote areas, it's becoming tougher to consult a doctor once the immediate hit of the epidemic has occurred. So, to steer an honest life, care is incredibly vital. The planned plan is to form a medical chatbot victimization Machine Learning algorithm which will diagnose the illness and supply basic details regarding the illness before consulting a doctor. Several studies will solve this downside with some reasonably chatbot or health assistant. This project report proposes a colloquial care larva that's designed to order, counsel and provides data on generic medicines for diseases to the patients. During this paper, we would like to explore and deepen additional information regarding chatbots that would facilitate individuals to urge an equivalent and correct treatment as a doctor would do. In addition, presenting a virtual assistant may live with the infection severity and connect with registered doctors once symptoms become serious.
Medical Assistant Design during this Pandemic Like Covid-19AI Publications
In the current world scenario, individuals square measure additional involved regarding their health. However, it's terribly troublesome to get consultation with the doctor just in case of any health problems. Since the invention of the Coronavirus (nCOV-19), it's become a world pandemic. At an equivalent time, it's been a good challenge to hospitals or health care employees to manage the flow of the high variety of cases. particularly in remote areas, it's becoming tougher to consult a doctor once the immediate hit of the epidemic has occurred. So, to steer an honest life, care is incredibly vital. The planned plan is to form a medical chatbot victimization Machine Learning algorithm which will diagnose the illness and supply basic details regarding the illness before consulting a doctor. Several studies will solve this downside with some reasonably chatbot or health assistant. This project report proposes a colloquial care larva that's designed to order, counsel and provides data on generic medicines for diseases to the patients. During this paper, we would like to explore and deepen additional information regarding chatbots that would facilitate individuals to urge an equivalent and correct treatment as a doctor would do. In addition, presenting a virtual assistant may live with the infection severity and connect with registered doctors once symptoms become serious.
Social Media Datasets for Analysis and Modeling Drug Usageijtsrd
This paper based on the research carried out in the area of data mining depends for managing bulk amount of data with mining in social media on using composite applications for performing more sophisticated analysis. Enhancement of social media may address this need. The objective of this paper is to introduce such type of tool which used in social network to characterised Medicine Usage. This paper outlined a structured approach to analyse social media in order to capture emerging trends in medicine abuse by applying powerful methods like Machine Learning. This paper describes how to fetch important data for analysis from social network. Then big data techniques to extract useful content for analysis are discussed. Sindhu S. B | Dr. B. N Veerappa "Social Media Datasets for Analysis and Modeling Drug Usage" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25246.pdfPaper URL: https://www.ijtsrd.com/engineering/computer-engineering/25246/social-media-datasets-for-analysis-and-modeling-drug-usage/sindhu-s-b
IMPACT OF ARTIFICIAL INTELLIGENCE ON THE AUTOMATION OF DIGITAL HEALTH SYSTEMijseajournal
Automating digital systems in healthcare plays a significant role in transforming the quality-of-care
services delivered to patients across the board. This role is anticipated to be accomplished by the
development and implementation of artificial intelligence in healthcare which has the potential to impact
the provision of healthcare services. This paper sought to investigate the impact of adopting and
implementing artificial intelligence on the automation of digital health systems within the different levels of
healthcare. The general objective of the research study was to investigate the impact of artificial
intelligence in the automation of digital health systems. The specific goals were to understand the concept
of artificial intelligence and how it automates digital strategies, to determine the AI systems that have been
developed and implemented in the healthcare systems, to establish the factors that influence the adoption
of AI in healthcare, and to find out the outcomes of implementing AI in digital health systems. The research
employed the descriptive research design. The study population included healthcare workers,
policymakers, IT specialists, and management teams in the healthcare sector in the State of Kentucky. The
sampling technique for the study was the purposive sampling technique. The study collected data using
semi-structured interviews administered through Google Teams and Zoom. Data analysis was analyzed
using the computer-assisted software for analyzing qualitative data, NVivo. The findings were that AI as a
technological concept has the potential to impact the automation of digital health systems and is key to
automating health services such as the diagnosis and treatment of illnesses and management of claims and
payments. The study recommended that policy supports the application of artificial intelligence in
healthcare, thus enabling the automation of several healthcare services and thus improving the delivery of
care.
Social Media Datasets for Analysis and Modeling Drug Usageijtsrd
This paper based on the research carried out in the area of data mining depends for managing bulk amount of data with mining in social media on using composite applications for performing more sophisticated analysis. Enhancement of social media may address this need. The objective of this paper is to introduce such type of tool which used in social network to characterised Medicine Usage. This paper outlined a structured approach to analyse social media in order to capture emerging trends in medicine abuse by applying powerful methods like Machine Learning. This paper describes how to fetch important data for analysis from social network. Then big data techniques to extract useful content for analysis are discussed. Sindhu S. B | Dr. B. N Veerappa "Social Media Datasets for Analysis and Modeling Drug Usage" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25246.pdfPaper URL: https://www.ijtsrd.com/engineering/computer-engineering/25246/social-media-datasets-for-analysis-and-modeling-drug-usage/sindhu-s-b
IMPACT OF ARTIFICIAL INTELLIGENCE ON THE AUTOMATION OF DIGITAL HEALTH SYSTEMijseajournal
Automating digital systems in healthcare plays a significant role in transforming the quality-of-care
services delivered to patients across the board. This role is anticipated to be accomplished by the
development and implementation of artificial intelligence in healthcare which has the potential to impact
the provision of healthcare services. This paper sought to investigate the impact of adopting and
implementing artificial intelligence on the automation of digital health systems within the different levels of
healthcare. The general objective of the research study was to investigate the impact of artificial
intelligence in the automation of digital health systems. The specific goals were to understand the concept
of artificial intelligence and how it automates digital strategies, to determine the AI systems that have been
developed and implemented in the healthcare systems, to establish the factors that influence the adoption
of AI in healthcare, and to find out the outcomes of implementing AI in digital health systems. The research
employed the descriptive research design. The study population included healthcare workers,
policymakers, IT specialists, and management teams in the healthcare sector in the State of Kentucky. The
sampling technique for the study was the purposive sampling technique. The study collected data using
semi-structured interviews administered through Google Teams and Zoom. Data analysis was analyzed
using the computer-assisted software for analyzing qualitative data, NVivo. The findings were that AI as a
technological concept has the potential to impact the automation of digital health systems and is key to
automating health services such as the diagnosis and treatment of illnesses and management of claims and
payments. The study recommended that policy supports the application of artificial intelligence in
healthcare, thus enabling the automation of several healthcare services and thus improving the delivery of
care.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.