Mahmoud Elbattah
According to our database1,
Mahmoud Elbattah
authored at least 29 papers
between 2015 and 2024.
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Bibliography
2024
Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.
Frontiers Neuroinformatics, 2024
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Exploring the Ethical Challenges of Large Language Models in Emergency Medicine: A Comparative International Review.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Predictive models in emergency medicine and their missing data strategies: a systematic review.
npj Digit. Medicine, 2023
Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
J. Imaging, 2021
NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Generative Modeling of Synthetic Eye-tracking Data: NLP-based Approach with Recurrent Neural Networks.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Heatmaps for Visual Explainability of CNN-Based Predictions for Multivariate Time Series with Application to Healthcare.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Multi-channel ConvNet Approach to Predict the Risk of in-Hospital Mortality for ICU Patients.
Proceedings of the 1st International Conference on Deep Learning Theory and Applications, 2020
Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019
Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
How can Machine Learning Support the Practice of Modeling and Simulation? - A Review and Directions for Future Research.
Proceedings of the 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, 2019
Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019
2018
Proceedings of the 2018 Winter Simulation Conference, 2018
ML-Aided Simulation: A Conceptual Framework for Integrating Simulation Models with Machine Learning.
Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2018
Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018
2017
Proceedings of the 1st Workshop on Scholarly Web Mining, 2017
Learning about systems using machine learning: Towards more data-driven feedback loops.
Proceedings of the 2017 Winter Simulation Conference, 2017
Data-driven patient segmentation using K-means clustering: the case of hip fracture care in Ireland.
Proceedings of the Australasian Computer Science Week Multiconference, 2017
Clustering-Aided Approach for Predicting Patient Outcomes with Application to Elderly Healthcare in Ireland.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Coupling Simulation with Machine Learning: A Hybrid Approach for Elderly Discharge Planning.
Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation, 2016
Using Machine Learning to Predict Length of Stay and Discharge Destination for Hip-Fracture Patients.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016
2015
Towards Improving Modeling and Simulation of Clinical Pathways: Lessons Learned and Future Insights.
Proceedings of the SIMULTECH 2015 - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Colmar, Alsace, France, 21, 2015