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Health Information Science and Systems|June 7, 2019
A machine learning autism classification based on logistic regression analysisFadi Thabtah, Neda Abdelhamid, David PeeblesHealth Informatics Journal|January 30, 2019
A new machine learning model based on induction of rules for autism detectionFadi Thabtah, David PeeblesInternational Journal of Environmental Research and Public Health|September 25, 2019
Early Autism Screening: A Comprehensive ReviewFadi Thabtah, David PeeblesTechnology and Health Care : Official Journal of the European Society for Engineering and Medicine|October 18, 2021
A new classification system for autism based on machine learning of artificial intelligenceSeyed Reza Shahamiri, Fadi Thabtah, Neda AbdelhamidBioengineering (Basel, Switzerland)|October 28, 2023
Assessing Autistic Traits in Toddlers Using a Data-Driven Approach with DSM-5 MappingNeda Abdelhamid, Rajdeep Thind, Heba Mohammad, et al.Digital Health|April 15, 2020
Exploring feature selection and classification methods for predicting heart diseaseRobinson Spencer, Fadi Thabtah, Neda Abdelhamid, et al.Healthcare (Basel, Switzerland)|October 27, 2022
Examining Cognitive Factors for Alzheimer's Disease Progression Using Computational IntelligenceFadi Thabtah, Swan Ong, David PeeblesJournal of Biomedical Informatics|September 22, 2020
Dementia medical screening using mobile applications: A systematic review with a new mapping modelFadi Thabtah, David Peebles, Jenny Retzler, et al.Brain Informatics|June 19, 2026
RDoC-informed explainable AI as a paradigm for multilevel Alzheimer's disease diagnosis and progression prediction: a systematic reviewMohammad Nami, David Peebles, Fadi Thabtah, et al.Journal of Medical Systems|December 13, 2019
A Mobile-Based Screening System for Data Analyses of Early Dementia Traits DetectionFadi Thabtah, Ella Mampusti, David Peebles, et al.Pageof 6