Mahmoud Elbattah

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 26

Top Topics

Machine Learning

Unstructured Text

Simulation Models

Top Venues

Publications

Émilien Arnaud, Mahmoud Elbattah, Christine Ammirati, Gilles Dequen, Daniel Aiham Ghazali
Predictive models in emergency medicine and their missing data strategies: a systematic review. npj Digit. Medicine 6 (2023)
Émilien Arnaud, Mahmoud Elbattah, Pedro A. Moreno-Sánchez, Gilles Dequen, Daniel Aiham Ghazali
Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes. BigData (2023)
Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen
Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models. HEALTHINF (2022)
Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking. HEALTHINF (2022)
Mahmoud Elbattah, Émilien Arnaud, Maxime Gignon, Gilles Dequen
The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications. HEALTHINF (2021)
Mahmoud Elbattah, Colm Loughnane, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data. J. Imaging 7 (5) (2021)
Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen
NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes. ICHI (2021)
Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen
Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text. IEEE BigData (2020)
Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
Generative Modeling of Synthetic Eye-tracking Data: NLP-based Approach with Recurrent Neural Networks. IJCCI (2020)
Fabien Viton, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen
Heatmaps for Visual Explainability of CNN-Based Predictions for Multivariate Time Series with Application to Healthcare. ICHI (2020)
Fabien Viton, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen
Multi-channel ConvNet Approach to Predict the Risk of in-Hospital Mortality for ICU Patients. DeLTA (2020)
Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen
NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement. SSCI (2020)
Mahmoud Elbattah, Conor Ryan
Learning Triple Sequence Patterns in Knowledge Graphs to Predict Inconsistencies. KMIS (2019)
Romuald Carette, Mahmoud Elbattah, Federica Cilia, Gilles Dequen, Jean-Luc Guérin, Jérôme Bosche
Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths. HEALTHINF (2019)
Mahmoud Elbattah, Romuald Carette, Gilles Dequen, Jean-Luc Guérin, Federica Cilia
Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder. EMBC (2019)
Mahmoud Elbattah
How can Machine Learning Support the Practice of Modeling and Simulation? - A Review and Directions for Future Research. DS-RT (2019)
Mahmoud Elbattah, Owen Molloy, Bernard P. Zeigler
Designing Care pathways using simulation Modeling and Machine Learning. WSC (2018)
Mahmoud Elbattah, Owen Molloy
ML-Aided Simulation: A Conceptual Framework for Integrating Simulation Models with Machine Learning. SIGSIM-PADS (2018)
Romuald Carette, Mahmoud Elbattah, Gilles Dequen, Jean-Luc Guérin, Federica Cilia
Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset. ICDIM (2018)
Mahmoud Elbattah
ScholarBase: Towards a Cross-Domain Knowledgebase for Linked Scholarly Data. SWM@WSDM (2017)
Mahmoud Elbattah, Owen Molloy
Learning about systems using machine learning: Towards more data-driven feedback loops. WSC (2017)
Mahmoud Elbattah, Owen Molloy
Data-driven patient segmentation using K-means clustering: the case of hip fracture care in Ireland. ACSW (2017)
Mahmoud Elbattah, Owen Molloy
Clustering-Aided Approach for Predicting Patient Outcomes with Application to Elderly Healthcare in Ireland. AAAI Workshops (2017)
Mahmoud Elbattah, Owen Molloy
Coupling Simulation with Machine Learning: A Hybrid Approach for Elderly Discharge Planning. SIGSIM-PADS (2016)
Mahmoud Elbattah, Owen Molloy
Using Machine Learning to Predict Length of Stay and Discharge Destination for Hip-Fracture Patients. IntelliSys (1) (2016)
Mahmoud Elbattah, Owen Molloy
Towards Improving Modeling and Simulation of Clinical Pathways: Lessons Learned and Future Insights. SIMULTECH (2015)