Presented at Workshop on Health Intelligence (W3PHIAI) - AAAI 2017 Conference
https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15188
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
A Preliminary Report Of Outcomes In Arthroscopic Rotator Repair With Extracel...Professor M. A. Imam
An investigation of the outcome of arthroscopic rotator cuff repair of large and massive rotator cuff repairs performed with extracellular matrix augmentation.
Predictors of Patients’ Functional Outcome after Motor Nerve Transfers in Man...Professor M. A. Imam
To maximize outcome in nerve transfers:
1- The recipient nerve reinnervated close to the target muscle.
2- Direct repair without intervening grafts.
3- Similarly behaving neuromuscular units (agonistic donors and recipients)
Presentation delivered at 2020 AAOS annual meeting by Dr Adnan Saithna, Professor of Orthopedic Surgery, Overland Park, Kansas. This randomised controlled study demonstrates that combined ACL and anterolateral ligament reconstruction is not associated with an increased risk of adverse events when compared to isolated ACL reconstruction
A Preliminary Report Of Outcomes In Arthroscopic Rotator Repair With Extracel...Professor M. A. Imam
An investigation of the outcome of arthroscopic rotator cuff repair of large and massive rotator cuff repairs performed with extracellular matrix augmentation.
Predictors of Patients’ Functional Outcome after Motor Nerve Transfers in Man...Professor M. A. Imam
To maximize outcome in nerve transfers:
1- The recipient nerve reinnervated close to the target muscle.
2- Direct repair without intervening grafts.
3- Similarly behaving neuromuscular units (agonistic donors and recipients)
Presentation delivered at 2020 AAOS annual meeting by Dr Adnan Saithna, Professor of Orthopedic Surgery, Overland Park, Kansas. This randomised controlled study demonstrates that combined ACL and anterolateral ligament reconstruction is not associated with an increased risk of adverse events when compared to isolated ACL reconstruction
A driving force behind their accelerated recoveries is orthobiologics, which combines the body’s natural ability to heal itself and the use of stem cells and advanced medical technologies to repair and heal orthopedic injuries.
Austin Orthopedics is an open access, peer reviewed, scholarly journal dedicated to publish articles in all areas of orthopedics & muscular system. The renowned editorial team ensures a balanced, expert assessment of the articles published with an aim to provide a forum for physicians, researchers and other healthcare professionals to find most recent advances in all areas of orthopedics.
Austin Orthopedics accepts original research articles, review articles and short communication covering all aspects of orthopedics for review and possible publication.
Austin Orthopedics 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, mutual promotion of multidisciplinary science.
Fractures that occur against the background of osteoporosis represent a global medical and social problem. In elderly people, 90% of hip fractures, as international studies have shown, occur against the background of osteoporosis. According to WHO, it is the fractures of the proximal femur that put osteoporosis on the 4th place among all causes of disability and mortality.
Sanni Ali's presentation from Osteoporosis 2016: Antidiabetic medication use and the risk of fracture amongst type 2 diabetic patients: a nested case-control study
Find out more at: https://nos.org.uk/conference
Case-control Study on 2nd Hammertoe Deformity Correction TechniquesWenjay Sung
This is my case-control study on second hammertoe deformity correction techniques: arthroplasty, arthrodesis, and interpositional implant arthroplasty.
A Descriptive Study to Assess the Level of Knowledge on Preventive Measures o...ijtsrd
The present study aim was a descriptive study to assess the level of knowledge on preventive measures of osteoarthritis among old age people at urban area. A quantitative research approach and quasi experimental research design have adopted for the present study. 50 samples were selected by the who are satisfied with inclusion criteria, they were selected by purposive sampling technique. A structured questionnaire to collect the demographic data and semi structured questionnaire to assess the level of knowledge on preventive measures. Among 50 clients 13 27.08 had inadequate knowledge and 35 72.92 had moderate adequate knowledge on preventive measures of osteoarthritis among old age people. The means score of knowledge on preventive measures of osteoarthritis among old age people was 12.48±2.58. The median score was 12.0 with minimum score of 7.0 and maximum score 19.0. Sathiyabama. G | Narmadha K | Nivetha. S "A Descriptive Study to Assess the Level of Knowledge on Preventive Measures of Osteoarthritis among Old Age People at Urban Area" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-6 , October 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52203.pdf Paper URL: https://www.ijtsrd.com/medicine/nursing/52203/a-descriptive-study-to-assess-the-level-of-knowledge-on-preventive-measures-of-osteoarthritis-among-old-age-people-at-urban-area/sathiyabama-g
In this work, we describe the field research, design, and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of Single-Modality vs Multi-Modality screening of breast cancer diagnosis with 31 clinicians and 566 images; and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI).
A driving force behind their accelerated recoveries is orthobiologics, which combines the body’s natural ability to heal itself and the use of stem cells and advanced medical technologies to repair and heal orthopedic injuries.
Austin Orthopedics is an open access, peer reviewed, scholarly journal dedicated to publish articles in all areas of orthopedics & muscular system. The renowned editorial team ensures a balanced, expert assessment of the articles published with an aim to provide a forum for physicians, researchers and other healthcare professionals to find most recent advances in all areas of orthopedics.
Austin Orthopedics accepts original research articles, review articles and short communication covering all aspects of orthopedics for review and possible publication.
Austin Orthopedics 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, mutual promotion of multidisciplinary science.
Fractures that occur against the background of osteoporosis represent a global medical and social problem. In elderly people, 90% of hip fractures, as international studies have shown, occur against the background of osteoporosis. According to WHO, it is the fractures of the proximal femur that put osteoporosis on the 4th place among all causes of disability and mortality.
Sanni Ali's presentation from Osteoporosis 2016: Antidiabetic medication use and the risk of fracture amongst type 2 diabetic patients: a nested case-control study
Find out more at: https://nos.org.uk/conference
Case-control Study on 2nd Hammertoe Deformity Correction TechniquesWenjay Sung
This is my case-control study on second hammertoe deformity correction techniques: arthroplasty, arthrodesis, and interpositional implant arthroplasty.
A Descriptive Study to Assess the Level of Knowledge on Preventive Measures o...ijtsrd
The present study aim was a descriptive study to assess the level of knowledge on preventive measures of osteoarthritis among old age people at urban area. A quantitative research approach and quasi experimental research design have adopted for the present study. 50 samples were selected by the who are satisfied with inclusion criteria, they were selected by purposive sampling technique. A structured questionnaire to collect the demographic data and semi structured questionnaire to assess the level of knowledge on preventive measures. Among 50 clients 13 27.08 had inadequate knowledge and 35 72.92 had moderate adequate knowledge on preventive measures of osteoarthritis among old age people. The means score of knowledge on preventive measures of osteoarthritis among old age people was 12.48±2.58. The median score was 12.0 with minimum score of 7.0 and maximum score 19.0. Sathiyabama. G | Narmadha K | Nivetha. S "A Descriptive Study to Assess the Level of Knowledge on Preventive Measures of Osteoarthritis among Old Age People at Urban Area" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-6 , October 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52203.pdf Paper URL: https://www.ijtsrd.com/medicine/nursing/52203/a-descriptive-study-to-assess-the-level-of-knowledge-on-preventive-measures-of-osteoarthritis-among-old-age-people-at-urban-area/sathiyabama-g
In this work, we describe the field research, design, and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of Single-Modality vs Multi-Modality screening of breast cancer diagnosis with 31 clinicians and 566 images; and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI).
The Study to Assess the Effect of Prehabilitation on Postoperative Outcome of...ijtsrd
AIM The present study aims to assess the effect of prehabilitation on postoperative outcome of the patients on total knee arthroplasty at selected hospital at SMCH.METHODS AND MATERIALS A pre experimental research design was used for the present study. A total 100 samples were collected using quota sampling technique. The demographic variable and post pre level of knee pain was assessed using structured questioner and, followed by that data was gathered and analyzed.RESULTS The results the study revealed that there is a significant association with post test level of knee pain among patients at level of p 0.0.CONCLUSION Thus, the present study assessed the existing level of knee pain was average and it was evident there is a lack of awareness and knowledge. Dr. S. Tamilselvi | D. Nisha | M. Janaki | R. Radhik "The Study to Assess the Effect of Prehabilitation on Postoperative Outcome of the Patients on Total Knee Arthroplasty at Selected Hospital" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60078.pdf Paper Url: https://www.ijtsrd.com/medicine/nursing/60078/the-study-to-assess-the-effect-of-prehabilitation-on-postoperative-outcome-of-the-patients-on-total-knee-arthroplasty-at-selected-hospital/dr-s-tamilselvi
P I C O T ASSIGNMENTQUESTION What Is the effectiveness of restr.docxgerardkortney
P I C O T ASSIGNMENT
QUESTION: What Is the effectiveness of restraints in reducing the occurrence of falls in patients 65 and over in nursing homes.
P – Patients 65 and over
I – Restraints
C – Besides safety alarm/rails
O – Decreased falls.
T – 1 year ( if needed)
PEER REVIEW ARTICLES - Qualitative Research
1.
Vandenberg, Ann E.Johnson, Theodore M., IIvan Beijnum, Bert-JanOverdevest, Vera G. P.Capezuti, Elizabeth
Source:
GERIATRIC NURSING; JUL-AUG 2017, 38 4, p276-p282, 7p.
Publisher Copyright:
MOSBY-ELSEVIER
ISSN:
01974572
Document Type:
Journal
Author Keywords:
Fall prevention
Long-term care
Monitoring technology
Position monitors
Bed exit alarms
Pressure sensor mats
Alarm fatigue
KeyWords Plus:
LONG-TERM-CARE
OF-THE-ART
INTERVENTION
ADULTS
Abstract:
Falls remain a major geriatric problem, and the search for new solutions continues. We investigated how existing fall prevention technology was experienced within nursing home nurses' environment and workflow. Our NIH-funded study in an American nursing home was followed by a cultural learning exchange with a Dutch nursing home. We constructed two case reports from interview and observational data and compared the magnitude of falls, safety cultures, and technology characteristics and effectiveness. Falls were a high-magnitude problem at the US site, with a collectively vigilant safety culture attending to non-directional audible alarms; falls were a low-magnitude problem at the NL site which employed customizable, infrared sensors that directed text alerts to assigned staff members' mobile devices in patient-centered care culture. Across cases, 1) a coordinated communication system was essential in facilitating effective fall prevention alert response, and 2) nursing home safety culture is tightly associated with the chosen technological system. (C) 2016 Elsevier Inc. All rights reserved.
Language:
English
Accession Number:
000408180800002
Database:
Social Sciences Citation Index
Retrieved from https://lopes.idm.oclc.org/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=edswss&AN=000408180800002&site=eds-live&scope=site
2.
Horton K
Affiliation:
Centre for Research in Nursing and Midwifery Education, Division of Health and Social Care, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7TE United Kingdom. [email protected]
Source:
Journal of Rehabilitation Research & Development (J REHABIL RES DEV), 2008; 45(8): 1183-1194. (12p)
Publication Type:
Journal Article - research, tables/charts
Language:
English
Major Subjects:
Accidental Falls -- Prevention and Control -- In Old AgeAccidents, Home -- Prevention and Control -- In Old AgeRehabilitation, GeriatricSecurity Measures, ElectronicTelehealth
Minor Subjects:
Aged; Aged, 80 and Over; Community Living; Control (Psychology); Descriptive Statistics; England; Fear; Female; Geriatric Assessment; Interviews; Male; Patient Compliance; Qualitative Studies; Thematic Analysis; Whites; Human
Abstract:
This.
Analytical Study of Clinicopathological Data of Saudi Patients with Osteoarth...Prof. Hesham N. Mustafa
SUMMARY: Knee osteoarthritis (OA) is a common disabling disease. Epidemiological studies have revealed various risk
factors for OA, including sex, aging, obesity, occupational illnesses, and chronic diseases. Here we evaluate the clinical, pathological,
and radiological findings of knee OA in a subset of Saudi patients who were subjected to total knee replacement (TKA). The study
population included 30 Saudi patients with knee OA who were operated by TKA (from June 2014 to December 2015) in the Department
of Orthopedics, Faculty of Medicine, King Abdulaziz University, Saudi Arabia. Patient’s clinical and radiological data were collected
from the hospital files. Pathological examination of the excised superior articular surface of tibia and femoral condyles were done.
Pearson Chi-squared analysis was used to test for differences between the variables in associated risk factors. There were more women
than men. Sixty per cent of patients were older than 60 years [mean age, 59.2 (females) and 61.7 (men) years-old]. All patients exceeded
obesity class 1, with females being more obese than males. Pathological examination of the superior articular surface of tibia and femoral
condyles showed high score lesions, which was more apparent in females than in males. Radiological findings showed that most lesions
were high grade. The findings of this study will help to understand the pathogenesis of OA and improve treatment decision making
relevant to TKA in knee OA in Saudi Arabia and elsewhere.
KEY WORDS: Osteoarthritis; Knee; Arthroplasty.
Predictive Value of Surgical Safety Checklist and Operating Room (OR) briefin...Ruby Med Plus
Health care is complex, with several interdisciplinary elements, incredibly unpredictable and at high risk of hazard. Healthcare environments are complex and tightly coupled systems that have proven to be error-prone . Patients expect to be reasonably safe when under medical supervision . In 1999, the US based, Institute of Medicine report, To Err is Human, claimed that between 44.000 and 98.000 patients in the US die every year from preventable adverse events.
However regardless of an ongoing push for drastic improvement of the safety culture in healthcare, medical errors continue to occur at unacceptable rates .
The rising cost of health care is given progressively more importance worldwide. A major factor affecting hospital cost is complications following surgery . Surgical care is an integral part of health care throughout the world, with an estimated 234 million operations performed annually . Surgical complications are a considerable cause of death and disability around the world. The World Bank reported that in 2002, an estimated 164 million disability-adjusted life years, representing 11% of the entire disease burden, were attributable to surgically treatable conditions . Surgical complications are devastating to patients, costly to health care systems, and often preventable, though their prevention typically requires a change in systems and individual behavior.
Anesthesia Management to Facilitate Same-Day Ambulatory Total Joint ReplacementRajnish Gupta
Some of the strategies for successful anesthesia management of patients with goal for same day or 23 hour observation total knee and total hip replacement surgery
The Woundontology Consortium is a semi-open, international, virtual community of practice devoted to advancing the field of research in non-invasive wound assessment by image analysis, ontology and semantic interpretation and knowledge extraction (content–based visual information retrieval).
Learning Embeddings from Free-text Triage Notes using Pretrained Transformer ...Mahmoud Elbattah
Presented at 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022)
Émilien Arnaud, Mahmoud Elbattah, Maxime Gingon, Gilles Dequen
Abstract
The advent of transformer models has allowed for tremendous progress in the Natural Language Processing (NLP) domain. Pretrained transformers could successfully deliver the state-of-the-art performance in a myriad of NLP tasks. This study presents an application of transformers to learn contextual embeddings from free-text triage notes, widely recorded at the emergency department. A large-scale retrospective cohort of triage notes of more than 260K records was provided by the University Hospital of Amiens-Picardy in France. We utilize a set of Bidirectional Encoder Representations from Transformers (BERT) for the French language. The quality of embeddings is empirically examined based on a set of clustering models. In this regard, we provide a comparative analysis of popular models including CamemBERT, FlauBERT, and mBART. The study could be generally regarded as an addition to the ongoing contributions of applying the BERT approach in the healthcare context.
Vision-Based Approach for Autism Diagnosis Using Transfer Learning and Eye-Tr...Mahmoud Elbattah
Presented at 2022 15th International Conference on Health Informatics (HEALTHINF)
Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
Abstract
The potentials of Transfer Learning (TL) have been well-researched in areas such as Computer Vision and Natural Language Processing. This study aims to explore a novel application of TL to detect Autism Spectrum Disorder. We seek to develop an approach that combines TL and eye-tracking, which is commonly used for analyzing autistic features. The key idea is to transform eye-tracking scanpaths into a visual representation, which could facilitate using pretrained vision models. Our experiments implemented a set of widely used models including VGG-16, ResNet, and DenseNet. Our results showed that the TL approach could realize a promising accuracy of classification (ROC-AUC up to 0.78). The proposed approach is not claimed to provide superior performance compared to earlier work. However, the study is primarily thought to convey an interesting aspect regarding the use of (synthetic) visual representations of eye-tracking output as a means to transfer representations from models pretrained on large-scale datasets such as ImageNet.
NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triag...Mahmoud Elbattah
Presented at 2021 IEEE International Conference on Healthcare Informatics (ICHI)
Émilien Arnaud, Mahmoud Elbattah, Maxime Gingon, Gilles Dequen
Abstract
Data Analytics is rapidly expanding within the healthcare domain to help develop strategies for improving the quality of care and curbing costs as well. Natural Language Processing (NLP) solutions have received particular attention whereas a large part of clinical data is stockpiled into unstructured physician or nursing notes. In this respect, we attempt to employ NLP to provide an early prediction of the medical specialties at hospital admission. The study uses a large-scale dataset including more than 260K ED records provided by the Amiens-Picardy University Hospital in France. Our approach aims to integrate structured data with unstructured textual notes recorded at the triage stage. On one hand, a standard MLP model is used against the typical set of features. On the other hand, a Convolutional Neural Network is used to operate over the textual data. While both learning components are conducted independently in parallel. The empirical results demonstrated a promising accuracy in general. It is conceived that the study could be an additional contribution to the mounting efforts of applying NLP methods in the healthcare domain.
NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye MovementMahmoud Elbattah
Presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
Abstract
Autism Spectrum Disorder (ASD) is a lifelong condition generally characterized by social and communication impairments. The early diagnosis of ASD is highly desirable, yet it could be complicated by several factors. Standard tests typically require intensive efforts and experience, which calls for developing assistive tools. In this respect, this study aims to develop a Machine Learning-based approach to assist the diagnosis process. Our approach is based on learning the sequence-based patterns in the saccadic eye movements. The key idea is to represent eye-tracking records as textual strings describing the sequences of fixations and saccades. As such, the study could borrow Natural Language Processing (NLP) methods for transforming the raw eye-tracking data. The NLP-based transformation could yield interesting features for training classification models. The experimental results demonstrated that such representation could be beneficial in this regard. With standard ConvNet models, our approach could realize a promising accuracy of classification (ROC-AUC up to 0.84).
Generative Modeling of Synthetic Eye-Tracking Data: NLP-Based Approach with R...Mahmoud Elbattah
Presented at 12th International Conference on Neural Computation Theory and Applications (NCTA)
Authors:
Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
Abstract
This study explores a Machine Learning-based approach for generating synthetic eye-tracking data. In this respect, a novel application of Recurrent Neural Networks is experimented. Our approach is based on learning the sequence patterns of eye-tracking data. The key idea is to represent eye-tracking records as textual strings, which describe the sequences of fixations and saccades. The study therefore could borrow methods from the Natural Language Processing (NLP) domain for transforming the raw eye-tracking data. The NLP-based transformation is utilised to convert the high-dimensional eye-tracking data into an amenable representation for learning. Furthermore, the generative modeling could be implemented as a task of text generation. Our empirical experiments support further exploration and development of such NLP-driven approaches for the purpose of producing synthetic eye-tracking datasets for a variety of potential applications.
Multi-Channel ConvNet Approach to Predict the Risk of In-Hospital Mortality f...Mahmoud Elbattah
Presented at International Conference on Deep Learning Theory and Applications (DeLTA) 2020
https://www.scitepress.org/PublicationsDetail.aspx?ID=1HSktBRmyxE=
Authors:
Fabien Viton, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen
Université de Picardie Jules Verne (UPJV), France
mahmoud.elbattah@u-picardie.fr
Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-...Mahmoud Elbattah
Presented at Presented at 41st Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
https://ieeexplore.ieee.org/document/8856904
Authors:
Mahmoud Elbattah, Romuald Carette, Gilles Dequen, Jean-Luc Guérin, Federica Cilia
Université de Picardie Jules Verne, France
mahmoud.elbattah@u-picardie.fr
Learning to Predict Autism Spectrum Disorder Based on the Visual Patterns of ...Mahmoud Elbattah
Presented at 12th International Conference on Health Informatics (HEALTHINF 2019)
http://www.insticc.org/Primoris/Resources/PaperPdf.ashx?idPaper=74026
Authors:
Romuald Carette, Mahmoud Elbattah, Federica Cilia, Gilles Dequen, Jean-Luc Guérin
Université de Picardie Jules Verne, France
mahmoud.elbattah@u-picardie.fr
Designing Care Pathways Using Simulation Modeling and Machine LearningMahmoud Elbattah
Presented at Winter Simulation Conference 2018, Gothenburg, Sweden
Authors:
Mahmoud Elbattah, Owen Molloy, Bernard P. Zeigler
Summary:
The paper presents a framework that incorporates Simulation Modeling along with Machine Learning (ML) for the purpose of designing pathways and evaluating the return on investment of implementation. The study goes through a use case in relation to elderly healthcare in Ireland, with a particular focus on the hip-fracture care scheme. Initially, unsupervised ML is utilised to extract knowledge from the Irish Hip Fracture Database. Data clustering is specifically applied to learn potential insights pertaining to patient characteristics, care-related factors, and outcomes. Subsequently, the data-driven knowledge is utilised within the process of simulation model development. Generally, the framework is conceived to provide a systematic approach for developing healthcare policies that help optimise the quality and cost of care.
Using Machine Learning to Predict Length of Stay and Discharge Destination fo...Mahmoud Elbattah
Using Machine Learning to Predict Length of Stay and Discharge Destination for Hip-Fracture Patients
Paper presented at Intelligent Systems Conference, London, 2016.
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
https://link.springer.com/chapter/10.1007/978-3-319-56994-9_15
https://www.researchgate.net/publication/319198340_Using_Machine_Learning_to_Predict_Length_of_Stay_and_Discharge_Destination_for_Hip-Fracture_Patients
Presenting a diversity of criteria that can be used to guide the selection of ERP systems. The criteria covers seven main groups including: i) Cost-Related, ii) Implementation Time, iii) Vendor-Related, iv) User-Related, v) Technology-Related, vi) System-Related, and vii)Organizational Requirements.
The paper below can be kindly cited in case of using the criteria.
Hegazy, A. E. F. A., ElBattah, M., & Kadry, M. (2012, October). Fuzzy-Based Framework for Enterprise Resource Planning System Selection. In Proceedings of the 22nd International Conference on Computer Theory and Applications (ICCTA), (pp. 139-147). IEEE.
https://ieeexplore.ieee.org/document/6523560/
ML-Aided Simulation: A Conceptual Framework for Integrating Simulation Models...Mahmoud Elbattah
ML-Aided Simulation: A Conceptual Framework for Integrating Simulation Models with Machine Learning
Paper presented at ACM 2018 Conference on Principles of Advanced Discrete Simulation (PADS)
https://dl.acm.org/citation.cfm?id=3200933
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
The Economic Burden of Hip Fractures among Elderly Patients in Ireland: A Com...Mahmoud Elbattah
Paper presented at the 34th International Conference of the System Dynamics Society, Delft, Netherlands - July 17-21, 2016
Full-Text available at:
https://www.systemdynamics.org/assets/conferences/2016/proceed/papers/P1332.pdf
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Using Simulation Modeling to Design Value-Based Healthcare SystemsMahmoud Elbattah
Paper presented at OR58 Annual Conference, Portsmouth, England
Full-text available at:
https://www.researchgate.net/publication/308138628_Using_Simulation_Modeling_to_Design_Value-Based_Healthcare_Systems
Authors:
Bernard P. Zeigler, Ernest L. Carter, Owen Molloy, Mahmoud Elbattah
The University of Arizona, Prince George's Health Department
, National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Large-Scale Ontology Storage and Query Using Graph Database-Oriented ApproachMahmoud Elbattah
Paper presented at 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS).
Full-Text available at:
http://ieeexplore.ieee.org/document/7397191/
https://www.researchgate.net/publication/304414637_Large-Scale_Ontology_Storage_and_Query_Using_Graph_Database-Oriented_Approach
First Author:
Mahmoud Elbattah
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Towards Improving Modeling and Simulation of Clinical Pathways: Lessons Learn...Mahmoud Elbattah
Towards Improving Modeling and Simulation of Clinical Pathways: Lessons Learned and Future Insights
Paper presented at International Conference on Simulation and Modeling Methodologies, Technologies and Applications
(SimulTech) 2015
Full-Text available at:
https://www.researchgate.net/publication/284284807_Towards_Improving_Modeling_and_Simulation_of_Clinical_Pathways_Lessons_Learned_and_Future_Insights
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
FrrbaseViz-A Tool for Exploring Freebase Using Query-Driven VisualisationMahmoud Elbattah
A tool for the interactive exploration of Freebase schema using query-driven visualisation.
http://freebaseviz.apphb.com/
The original paper was presented at International Conference on Communication, Management and Information Technology (ICCMIT 2016).
https://www.researchgate.net/publication/321716603_FreebaseViz_Interactive_Exploration_of_Freebase_Schema_Using_Query-Driven_Visualisation
Author:
Mahmoud Elbattah
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Supply Chains Modelling and Simulation Framework:Graph-Driven Approach Using ...Mahmoud Elbattah
Supply Chains Modelling and Simulation Framework:Graph-Driven Approach Using Ontology-Based Semantic Networks and Graph Database
Paper presented at International Conference on Simulation and Modeling Methodologies, Technologies and Applications
(SimulTech) 2014
Full-Text available at:
https://www.researchgate.net/profile/Mahmoud_Elbattah2/publication/294087825_Supply_Chains_Modelling_and_Simulation_Framework_Graph-Driven_Approach_Using_Ontology-Based_Semantic_Networks_and_Graph_Database/links/56bdd57308ae373cf1aaa930.pdf
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Coupling Simulation with Machine Learning:A Hybrid Approach for Elderly Disch...Mahmoud Elbattah
Coupling Simulation with Machine Learning:A Hybrid Approach for Elderly Discharge Planning
Paper presented at SIGSIM PADS 2016
https://dl.acm.org/citation.cfm?id=2901381
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Learning about Systems Using Machine Learning:Towards More Data-Driven Feedba...Mahmoud Elbattah
Learning about Systems Using Machine Learning- Paper presented at Winter Simulation Conference 2017
http://ieeexplore.ieee.org/document/8247895/
Authors:
Mahmoud Elbattah and Owen Molloy
National University of Ireland Galway
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Clustering-Aided Approach for Predicting Patient Outcomes with Application to Elderly Healthcare in Ireland
1. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
Clustering-AidedApproachfor Predicting
Patient Outcomeswith Applicationto Elderly
Healthcarein Ireland
Mahmoud Elbattah, Owen Molloy
mahmoud.elbattah@nuigalway.ie
2. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
Challengeto Healthcare: PopulationAgeing
2Source : Health Service Executive. Annual Report and Financial Statements, 2014.
3. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
Our Focus: Hip FractureCare in Ireland
• A good exemplar of elderly healthcare.
• Exponentially increasing with age.1
• Identified as one of the most serious injuries resulting in
lengthy hospital admissions and high costs.2
• High quality data available through the Irish Hip Fracture
Database (IHFD).
3
Sources :1 Gullberg, B., Johnell, O. and Kanis, J.A., 1997. World-wide projections for hip fracture. Osteoporosis international, 7(5), pp.407-413.
2http://www.hse.ie/eng/services/publications/olderpeople/Executive_Summary_Strategy_to_Prevent_Falls_and_Fractures_in_Ireland%E2%80%99s_Ageing_Po
pulation.pdf
4. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
Overview:Hip FractureCare Scheme
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5. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
Objectives
• To predict the inpatient length of stay (LOS).
• To predict the patient’s discharge destination.
5
6. Importance of Predicting LOS and Discharge
Destination
LOS:
• A significant measure of
patient outcomes [1-3].
• A valid proxy to measure the
consumption of hospital
resources.
• Reported as the main
component of the overall cost
of hip fracture care [4].
Discharge Destination:
• Having a strategic importance
to estimate the needed capacity
of long-stay care facilities such
as nursing homes.
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8. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
Data Description
• Irish Hip Fracture Database (IHFD).
• Patient records in the years 2013-2014.
• Patients aged 60 and over.
• 38 data fields such as gender, age, type of fracture, date
of admission, and LOS.
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10. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
LearningAlgorithm: Random Forests
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𝑝 𝑐 𝑣 =
1
𝑇
𝑡=1
𝑇
𝑝𝑡(𝑐|𝑣)
, where pt(c|v) denotes the posterior distribution obtained by the t-th
tree.
11. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
LearningAlgorithm: Random Forests
Source: https://scholar.google.com/citations?user=mXSv_1UAAAAj
12. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
PayingTributeto Leo Breiman(1928-2005)
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13. Feature Selection & Extraction
LOS Regression Model:
• Age
• Patient Gender
• Fracture Type
• HospitalAdmitted To
• ICD-10 Diagnosis
• Fragility History
• Time to Surgery
Discharge Destination
Classifier:
• Age
• Patient Gender
• Fracture Type
• Hospital Admitted To
• ICD-10 Diagnosis
• LOS
• Fragility History
• Time to Surgery
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14. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
ExperimentalResults:
RegressionAccuracy(10-Fold Cross-Validation)
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LOS Predictors Relative Absolute
Error (≈)
Relative Squared
Error (≈)
Coefficient of
Determination (≈)
Cluster 1 0.24 0.14 0.86
Cluster 2 0.30 0.19 0.81
Cluster 3 0.28 0.18 0.82
15. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
ExperimentalResults:
ClassifierAccuracy(10-Fold Cross-Validation)
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Cluster1 Cluster2 Cluster3
AUC=0.851 AUC=0.739 AUC=0.863
16. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
The Significanceof Clustering
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17. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
The Significanceof Clustering(cont’d)
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The Significanceof Clustering(cont’d)
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* The features were decided based on the permutation importance method [5]
19. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
More about Patient Clustering…
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https://dl.acm.org/citation.cfm?id=3014874
20. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
ClosingThought
• “The key challenges facing healthcare providers in future
years are perhaps more organisational and logistical than
medical and scientific advances”.
(Sally Brailsford & Jan Vissers 2011)
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Source :Brailsford, S. and Vissers, J., 2011. OR in healthcare: A European perspective. European journal of operational research, 212(2),
pp.223-234.
21. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
References
1. O'Keefe, G.E., Jurkovich, G.J. and Maier, R.V., 1999. Defining excess resource
utilization and identifying associated factors for trauma victims. Journal of Trauma
and Acute Care Surgery, 46(3), pp.473-478.
2. Englert, J., Davis, K.M. and Koch, K.E., 2001. Using clinical practice analysis to
improve care. Joint Commission Journal on Quality and Patient Safety, 27(6),
pp.291-301.
3. Guru, V., Anderson, G.M., Fremes, S.E., O’Connor, G.T., Grover, F.L., Tu, J.V. and
Consensus, C.C.S.Q.I., 2005. The identification and development of Canadian
coronary artery bypass graft surgery quality indicators. The Journal of thoracic and
cardiovascular surgery, 130(5), pp.1257-e1.
4. Johansen, A., Wakeman, R., Boulton, C., Plant, F., Roberts, J. and Williams, A.,
2013. National Hip Fracture Database: National Report 2013. Clinical Effectiveness
and Evaluation Unit at the Royal College of Physicians.
5. Altmann, A., Toloşi, L., Sander, O. and Lengauer, T., 2010. Permutation importance:
a corrected feature importance measure. Bioinformatics, 26(10), pp.1340-1347.
6. Breiman, L., 2001. Random forests. Machine learning, 45(1), pp.5-32.
7. Brailsford, S. and Vissers, J., 2011. OR in healthcare: A European
perspective. European journal of operational research, 212(2), pp.223-234.
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22. AAAI 2017-Workshop on Health Intelligence (W3PHIAI)
THANK YOU!
mahmoud.elbattah@nuigalway.ie
