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Informations du chercheur

Nom complet

Eddabbah Mohamed

Grade

PA

Spécialité

informatique

Thématique de recherche

Computer science, E-health

Laboratoire

Laboratoire de Recherche en Technologies Intelligentes et Durables

Établissement

Ecole Supérieure de Technologie Essaouira

Publications (27 au total)

Enhancing Diabetes Detection Through Data Preprocessing: A Comparative Analysis of Machine Learning Algorithms

Auteur: Btissam Elaziz, Younes Ommane, Mohamed Eddabbah, Yassin Laaziz

Revue: 2024 International Conference on Computing, Internet of Things and Microwave Systems (ICCIMS)

Année: 2024

DOI: 10.1109/iccims61672.2024.10690679

Health sciences lifelong learning and professional development in the era of artificial intelligence

Auteur: Nadia Hachoumi, Mohamed Eddabbah, Ahmed Rhassane El Adib

Revue: International Journal of Medical Informatics

Année: 2023

DOI: 10.1016/j.ijmedinf.2023.105171

Security Considerations in the Internet of Medical Things: COVID-19 IoMT Gadgets

Auteur: Charaf Eddine AIT ZAOUIAT, Mohamed BASLAM, Mohamed EDDABBAH, Mohamed ABDELBAKI, Mohamed EL GHAZOUANI, AZIZ Layla

Revue: International Journal of Computer Engineering and Data Science (IJCEDS)

Année: 2023

The characterization of a hospitalized population at the pediatric emergency service of Mother and Child Hospital, Marrakech, Morocco

Auteur: Siham Jbari, Widad Lahmini, Mohammed Eddabbah, Samia Boussaa, Mounir Bourrous

Revue: Pan African Medical Journal

Année: 2022

DOI: 10.11604/pamj.2022.43.138.29471

High-Fidelity Simulation Effects on Cardiopulmonary Resuscitation Self-Efficacy and Knowledge Retention in Undergraduate Nursing Students: A Two-Group, Experimental, Longitudinal Pilot Study

Auteur: Kamal Takhdat, Mohamed Eddabbah, Hamza El Hamzaoui, Saloua Lamtali, Ahmed Rhassane El Adib

Revue: Nursing Education Perspectives

Année: 2022

DOI: 10.1097/01.nep.0000000000000984

Nursing, Health Technician and Midwifery Students’ Perceptions of Their First Fully Online Learning Experience During the Covid-19 Pandemic: A Cross-Sectional Study

Auteur: Kamal Takhdat, Mohamed Eddabbah, Mustapha Ouzouhou, Ahmed Ghassane El Adib, Saloua Lamtali

Revue: ACE Official Conference Proceedings

Année: 2022

DOI: 10.22492/issn.2186-5892.2022.9

Modelization of Covid-19 pandemic spreading: A machine learning forecasting with relaxation scenarios of countermeasures

Auteur: Moulay A. Lmater, Mohamed Eddabbah, Tariq Elmoussaoui, Samia Boussaa

Revue: Journal of Infection and Public Health

Année: 2021

DOI: 10.1016/j.jiph.2021.01.004

A Real-Time Smart Agent for Network Traffic Profiling and Intrusion Detection Based on Combined Machine Learning Algorithms

Auteur: Nadiya El Kamel, Mohamed Eddabbah, Youssef Lmoumen, Raja Touahni

Revue: Smart Innovation, Systems and Technologies

Année: 2021

DOI: 10.1007/978-981-16-3637-0_21

Impact of interdisciplinary high fidelity simulation with real-time audio-visual feedback on psychomotor and behavioral skills in cardiopulmonary resuscitation training in undergraduate nursing students: a randomized controlled trial

Auteur: Kamal TAKHDAT, Mohamed EDDABBAH, EL HAMZAOUI Hamza, EL ADIB Ahmed Ghassane, LAMTALI Saloua

Revue: OSF

Année: 2020

DOI: 10.17605/OSF.IO/PKEAX