authors Nezhadmoghadam,Fahimeh Nezhadmoghadam,Fahimeh Nezhadmoghadam,Fahimeh Nezhadmoghadam,Fahimeh Nezhadmoghadam,Fahimeh Nezhadmoghadam,Fahimeh
selected publications academic article in scopus Breast cancer risk prediction using machine learning: a systematic review. Frontiers in Oncology. 2024 Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning. Frontiers in Public Health. 2024 Unsupervised discovery of Mild Cognitive Impairment subtypes of Alzheimer's disease using consensus clustering and unsupervised learning techniques 2022 Risk profiles for negative and positive COVID-19 hospitalized patients. Computers in Biology and Medicine. 136. 2021 Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling. Current Alzheimer Research. 18:595-606. 2021 chapter in scopus Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI. Lecture Notes in Computer Science. 47-56. 2019
education and training Engineering in Information Technology and Computing, Isfahan University of Technology M.in Sciences in Information Technology, Shahid Bahonar University of Kerman PhD in Computer Science, Tecnológico de Monterrey
fahimeh.nezhad@tec.mx
