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
Clustering-Aided Approach for Predicting Patient Outcomes with Application to...Mahmoud Elbattah
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
The purpose of this report is to:
Summarise facts about key disabilities in CYP in London, including epidemiology, risk factors, costs, impact and support
Provide a resource to support organisations in commissioning decisions to ensure that each child or young person with a disability is able to function to the best of their ability
Clustering-Aided Approach for Predicting Patient Outcomes with Application to...Mahmoud Elbattah
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
The purpose of this report is to:
Summarise facts about key disabilities in CYP in London, including epidemiology, risk factors, costs, impact and support
Provide a resource to support organisations in commissioning decisions to ensure that each child or young person with a disability is able to function to the best of their ability
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
On Wednesday, 3 March 2021, ESRI researcher Conor Keegan presented the topic ‘Understanding the drivers of hospital expenditure’ at the conference ‘Irish hospital expenditure beyond the era of COVID-19.’
The conference examined issues relating to expenditure on acute hospital care in Ireland. Findings from recent ESRI research, undertaken as part of the ESRI Research Programme in Healthcare Reform, which is funded by the Department of Health, were presented.
To view the presentation slides and other event details, click here: https://www.esri.ie/events/irish-hospital-expenditure-beyond-the-era-of-covid-19
To view a video of the presentation, click here: https://www.youtube.com/watch?v=cEHsUI0EmQ4
Interventional Oncology Global Market estimated to be worth $2.1 billion by 2026Vinay Shiva Prasad
The factors such as increasing prevalence of cancer cases, growing adoption of minimally invasive procedures, increasing geriatric population, technological advancements in the field of interventional oncology, and expansion in the emerging markets are driving the market.
NHS Sustainability and the Impact of Covid19 Virtual Conference4 All of Us
This virtual conference examined the impact Covid19 will have on sustainability within the NHS and wider healthcare field. We explored the solutions already being adopted by the NHS to combat carbon emissions whilst addressing how the ramifications of Coronavirus may impact sustainable methods.
The conference provided the opportunity for NHS Trusts to discuss their concerns, ideas and plans around embedding sustainable development with fellow peers. Topics that were discussed on the day included:
How will Procurement be impacted by the virus?
Will Infection Prevention Control stop carbon reduction initiatives?
How important will sustainable transport be in a Covid19 society?
How do you maintain environmental behaviours whilst dealing with Covid19?
How will the virus impact spending in the NHS?
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
Presented by: Angela Greetham, Bay of Plenty DHB
at OHSIG 2014, Thursday 11/9/14, Limelight Room 1, 11.15am
Video URLs:
HQSC on fall prevention: www.youtube.com/watch?v=NdO7JCXJBO4
10-Year Orthopedics and Spine Forecast: Factors Impacting DemandWellbe
Advances in technology and surgical techniques, fluctuations in population, ever-increasing demand for outpatient procedures combined with an array of economic and policy factors will shape our opportunity for growth in Orthopedics and Spine over the next decade. What’s in store for the next 10 years of orthopedics and spine service lines? Mike Graham of Sg2 will review future inpatient and outpatient forecasts for orthopedics and spine services, the key factors impacting their growth, and opportunities to differentiate your orthopedics and spine services to capture additional market share.
About the Speaker:
Mike Graham supports Sg2’s intelligence and analytics in both orthopedics and spine and contributes to the orthopedic and spine forecasts. As an Sg2 thought leader, he writes extensively on the development of orthopedic and spine service line strategy. He also works directly with health care executives and physicians to apply knowledge and strategy to their unique circumstances and environment.
With 20 years of experience in health care management and information systems, Mike has devoted much of his career to sharing best practices in service line development, physician engagement, care redesign and payment reform through publications, webinars, conference presentations and consulting engagements.
Immediately prior to joining Sg2, Mike engaged with hospitals and providers to grow their orthopedic service lines, improve patient outcomes and transition to value-based models of care. Earlier in his career he participated in the creation of groundbreaking approaches in comprehensive spine center development, focusing on innovative methods to improve patient access and employ nurse navigation and outcomes collection throughout the continuum of care.
Mike earned a master in health care administration from Xavier University in Cincinnati and an undergraduate degree in management information systems from the University of Dayton (OH).
Endoscopes Market Size, Share, And Trends Analysis Report By Product (Flexible, Disposable, Rigid), By Application (Gastrointestinal, Urology, Laparoscopy), By End Use, And Segment Forecasts, 2018 - 2025
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.
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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
On Wednesday, 3 March 2021, ESRI researcher Conor Keegan presented the topic ‘Understanding the drivers of hospital expenditure’ at the conference ‘Irish hospital expenditure beyond the era of COVID-19.’
The conference examined issues relating to expenditure on acute hospital care in Ireland. Findings from recent ESRI research, undertaken as part of the ESRI Research Programme in Healthcare Reform, which is funded by the Department of Health, were presented.
To view the presentation slides and other event details, click here: https://www.esri.ie/events/irish-hospital-expenditure-beyond-the-era-of-covid-19
To view a video of the presentation, click here: https://www.youtube.com/watch?v=cEHsUI0EmQ4
Interventional Oncology Global Market estimated to be worth $2.1 billion by 2026Vinay Shiva Prasad
The factors such as increasing prevalence of cancer cases, growing adoption of minimally invasive procedures, increasing geriatric population, technological advancements in the field of interventional oncology, and expansion in the emerging markets are driving the market.
NHS Sustainability and the Impact of Covid19 Virtual Conference4 All of Us
This virtual conference examined the impact Covid19 will have on sustainability within the NHS and wider healthcare field. We explored the solutions already being adopted by the NHS to combat carbon emissions whilst addressing how the ramifications of Coronavirus may impact sustainable methods.
The conference provided the opportunity for NHS Trusts to discuss their concerns, ideas and plans around embedding sustainable development with fellow peers. Topics that were discussed on the day included:
How will Procurement be impacted by the virus?
Will Infection Prevention Control stop carbon reduction initiatives?
How important will sustainable transport be in a Covid19 society?
How do you maintain environmental behaviours whilst dealing with Covid19?
How will the virus impact spending in the NHS?
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
Presented by: Angela Greetham, Bay of Plenty DHB
at OHSIG 2014, Thursday 11/9/14, Limelight Room 1, 11.15am
Video URLs:
HQSC on fall prevention: www.youtube.com/watch?v=NdO7JCXJBO4
10-Year Orthopedics and Spine Forecast: Factors Impacting DemandWellbe
Advances in technology and surgical techniques, fluctuations in population, ever-increasing demand for outpatient procedures combined with an array of economic and policy factors will shape our opportunity for growth in Orthopedics and Spine over the next decade. What’s in store for the next 10 years of orthopedics and spine service lines? Mike Graham of Sg2 will review future inpatient and outpatient forecasts for orthopedics and spine services, the key factors impacting their growth, and opportunities to differentiate your orthopedics and spine services to capture additional market share.
About the Speaker:
Mike Graham supports Sg2’s intelligence and analytics in both orthopedics and spine and contributes to the orthopedic and spine forecasts. As an Sg2 thought leader, he writes extensively on the development of orthopedic and spine service line strategy. He also works directly with health care executives and physicians to apply knowledge and strategy to their unique circumstances and environment.
With 20 years of experience in health care management and information systems, Mike has devoted much of his career to sharing best practices in service line development, physician engagement, care redesign and payment reform through publications, webinars, conference presentations and consulting engagements.
Immediately prior to joining Sg2, Mike engaged with hospitals and providers to grow their orthopedic service lines, improve patient outcomes and transition to value-based models of care. Earlier in his career he participated in the creation of groundbreaking approaches in comprehensive spine center development, focusing on innovative methods to improve patient access and employ nurse navigation and outcomes collection throughout the continuum of care.
Mike earned a master in health care administration from Xavier University in Cincinnati and an undergraduate degree in management information systems from the University of Dayton (OH).
Endoscopes Market Size, Share, And Trends Analysis Report By Product (Flexible, Disposable, Rigid), By Application (Gastrointestinal, Urology, Laparoscopy), By End Use, And Segment Forecasts, 2018 - 2025
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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
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
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
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
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Coupling Simulation with Machine Learning:A Hybrid Approach for Elderly Discharge Planning
1. SIGSIMPADS 2016
CouplingSimulation with MachineLearning:
A Hybrid Approachfor Elderly DischargePlanning
Mahmoud Elbattah, Owen Molloy
m.elbattah1@nuigalway.ie
2. SIGSIMPADS 2016
Challenge to Healthcare: PopulationAgeing
2Source : Health Service Executive. Annual Report and Financial Statements, 2014.
3. SIGSIMPADS 2016
Our Focus: Hip Fracture Care 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. SIGSIMPADS 2016
Questions of Interest
4
Category of
Questions
Question
Individual Patient-
Level
Q1) Given an elderly patient’s characteristics, how to predict the
length of stay in acute facilities?
Q2) Given an elderly patient’s characteristics, how to predict the
discharge destination?
Population-Level Q3) What is the expected proportion of elderly patients
discharged to home, or long-stay care?
Q4) How adequate is the geographic distribution of long-stay care
facilities with respect to the demographic profile of elderly people
in Ireland?
5. SIGSIMPADS 2016
Our Approach: Integrating Simulation
Modeling with Machine Learning
Machine Learning
Predict LOS and
Destination Discharge
Patient-Focused Perspective
+ Simulation Modeling
Modeling Projected
Flow of Elderly Patients
Population-Driven Perspective
8. SIGSIMPADS 2016
Models Training
8
Relative Absolute Error Relative SquaredError Coefficientof Determination
≈0.26 ≈0.17 ≈0.83
Average 10-fold cross-validationaccuracy of the LOS predictor
Average 10-fold cross-validationaccuracies of discharge destination classifier.
10. SIGSIMPADS 2016
Experiments & Results (cont’d)
10
0
500
1000
1500
2000
2500
2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026
DischargedPatients
Year
Home Long-Stay Care
11. SIGSIMPADS 2016
Experiments & Results (cont’d)
11
(a) Bed Capacity (Long-Stay Care) (b) Predicted Demand
CHO: Community Health Organisation
12. SIGSIMPADS 2016
Study Limitations
• Only public acute hospitals were considered, from which the
IHFD records were obtained.
• The records of the IHFD dataset did not evenly represent the 9
CHOs.
• The real data obtained by the study covered only a single year,
which was 2013.
• The rate of hip fractures was assumed as a constant over the
simulated interval, however it might increase or decrease in
reality.
12
15. SIGSIMPADS 2016
Summary
• The developed model can realise a population-based
perspective for care delivery of hip fracture care in
particular.
• The combined approach of simulation modeling and ML is
claimed to increase the simulation model accuracy.
• Further, the model can further serve as a surrogate model
for expecting the potential demand for elderly care in
general.
15
16. SIGSIMPADS 2016
Acknowledgements
• PhD Supervisor: Owen Molloy.
• National Office of Clinical Audit (NOCA), Ireland.
• SIGSIM PADS.
• The reviewers of our paper.
16
