Mahmoud ELBATTAH

Mahmoud ELBATTAH

Université de Picardie Jules Verne

H-index: 14

Europe-France

About Mahmoud ELBATTAH

Mahmoud ELBATTAH, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Université de Picardie Jules Verne, specializes in the field of Health Informatics, Machine Learning, Modeling and Simulation, Knowledge Graphs.

His recent articles reflect a diverse array of research interests and contributions to the field:

Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes

Predictive models in emergency medicine and their missing data strategies: a systematic review

Applications of machine learning methods to assist the diagnosis of autism spectrum disorder

Use of Artificial Intelligence to Manage Patient Flow in Emergency Department during the COVID-19 Pandemic: A Prospective, Single-Center Study

Eye-Tracking Dataset to Support the Research on Autism Spectrum Disorder

Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking

Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models

NLP-based prediction of medical specialties at hospital admission using triage notes

Mahmoud ELBATTAH Information

University

Position

___

Citations(all)

564

Citations(since 2020)

528

Cited By

121

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Université de Picardie Jules Verne

Google Scholar

View Google Scholar Profile

Mahmoud ELBATTAH Skills & Research Interests

Health Informatics

Machine Learning

Modeling and Simulation

Knowledge Graphs

Top articles of Mahmoud ELBATTAH

Title

Journal

Author(s)

Publication Date

Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes

Emilien Arnaud

Mahmoud Elbattah

Pedro A Moreno-Sánchez

Gilles Dequen

Daniel Aiham Ghazali

2023/12/15

Predictive models in emergency medicine and their missing data strategies: a systematic review

Emilien Arnaud

Mahmoud Elbattah

Christine Ammirati

Gilles Dequen

Daniel Aiham Ghazali

2023/2/23

Applications of machine learning methods to assist the diagnosis of autism spectrum disorder

Mahmoud Elbattah

Romuald Carette

Federica Cilia

Jean-Luc Guérin

Gilles Dequen

2023/1/1

Use of Artificial Intelligence to Manage Patient Flow in Emergency Department during the COVID-19 Pandemic: A Prospective, Single-Center Study

International Journal of Environmental Research and Public Health

Emilien Arnaud

Mahmoud Elbattah

Christine Ammirati

Gilles Dequen

Daniel Aiham Ghazali

2022/8

Eye-Tracking Dataset to Support the Research on Autism Spectrum Disorder

Federica Cilia

Romuald Carette

Mahmoud Elbattah

Jean-Luc Guérin

Gilles Dequen

2022/10/5

Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking

Mahmoud Elbattah

Jean-Luc Guérin

Romuald Carette

Federica Cilia

Gilles Dequen

2022/2/9

Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models

Émilien Arnaud

Mahmoud Elbattah

Maxime Gignon

Gilles Dequen

2022/2

NLP-based prediction of medical specialties at hospital admission using triage notes

Émilien Arnaud

Mahmoud Elbattah

Maxime Gignon

Gilles Dequen

2021/8/9

Variational autoencoder for image-based augmentation of eye-tracking data

Journal of Imaging

Mahmoud Elbattah

Colm Loughnane

Jean-Luc Guérin

Romuald Carette

Federica Cilia

...

2021/5/3

The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications

Mahmoud Elbattah

Emilien Arnaud

Maxime Gignon

Gilles Dequen

2021/2

Computer-aided screening of autism spectrum disorder: eye-tracking study using data visualization and deep learning

JMIR human factors

Federica Cilia

Romuald Carette

Mahmoud Elbattah

Gilles Dequen

Jean-Luc Guérin

...

2021/10/25

Heatmaps for visual explainability of cnn-based predictions for multivariate time series with application to healthcare

Fabien Viton

Mahmoud Elbattah

Jean-Luc Guérin

Gilles Dequen

2020/11/30

Generative Modeling of Synthetic Eye-Tracking Data: NLP-Based Approach with Recurrent Neural Networks

Mahmoud Elbattah

Romuald Carette

Federica Cilia

Gilles Dequen

2020/12/31

Multi-Channel ConvNet Approach to Predict the Risk of In-Hospital Mortality for ICU Patients

Fabien Viton

Mahmoud Elbattah

Jean-Luc Guérin

Gilles Dequen

2020/7

Deep learning to predict hospitalization at triage: Integration of structured data and unstructured text

Émilien Arnaud

Mahmoud Elbattah

Maxime Gignon

Gilles Dequen

2020/12/10

Mining the Irish hip fracture database: learning factors contributing to care outcomes

International Journal of Data Science

Mahmoud Elbattah

Owen Molloy

2020

NLP-based approach to detect autism spectrum disorder in saccadic eye movement

Mahmoud Elbattah

Jean-Luc Guérin

Romuald Carette

Federica Cilia

Gilles Dequen

2020/12/1

See List of Professors in Mahmoud ELBATTAH University(Université de Picardie Jules Verne)

Co-Authors

H-index: 56
Ricardo Colomo-Palacios (https://orcid.org/0000-0002-1555-9726)

Ricardo Colomo-Palacios (https://orcid.org/0000-0002-1555-9726)

Høgskolen i Østfold

H-index: 18
Owen Molloy

Owen Molloy

National University of Ireland, Galway

H-index: 17
Mohamed Roushdy

Mohamed Roushdy

Future University

H-index: 14
Mostafa M. Aref

Mostafa M. Aref

Ain Shams University

H-index: 9
Federica Cilia

Federica Cilia

Université de Picardie Jules Verne

academic-engine