Dr. Manaf Zargoush
Associate Professor / Associate Dean, Faculty Affairs and Accreditation
Associate Professor / Associate Dean, Faculty Affairs and Accreditation
Faculty, Health Policy And Management
Dr. Manaf Zargoush is an associate professor of Health Policy & Management at the DeGroote School of Business, McMaster University. He holds a Ph.D. in Healthcare Operations and Information Management (McGill University, Montreal, Canada), a Ph.D. in Decision Science and Statistics (ESSEC Business School, Paris, France), M.Phil. in Decision Sciences(ESSEC Business School, Paris, France), M.Sc. in Socio-Economic Systems Engineering (Sharif University of Technology, Tehran, Iran), and B.Sc. in Mechanical Engineering (Jundi-Shapoor University, Ahvaz, Iran). His main areas of research expertise and interests include using Data Science (machine learning, artificial intelligence, statistical modeling) for descriptive and predictive analytics and optimization (stochastic dynamic optimization, Markov and Semi-Markov Decision Processes, Partially Observable Markov Decision Processes) for prescriptive analytics of a wide range of health-related problems, such as medical decision-making, and healthcare operations management. His current main projects are chronic disease (particularly hypertension and diabetes) management and aging research (e.g., ALC in Canada and predicting the trajectory of disabilities among older adults). He is also interested in physicians' learning in uncertain environments as well as causal analytics using machine learning and big data.
Joshua o Cerasuolo Rinku Sutradhar Manaf Zargoush
Current Oncology
Hrayer Aprahamian Vedat Verter Manaf Zargoush
Health Care Management Science
Diego Roger-silva Veronica souza Santos Chris p Vershoor Manaf Zargoush
Archives Of Gerontology And Geriatrics
Renata Kirkwood Cody Cooper William e Mcilroy Karen Van ooteghem Kit b Beyer Manaf Zargoush Sachi O’hoski Talha Rafiq Jamal Deen Vanina Dal bello-haas Jack Guralnik Sarrah Lal Kathryn Sibley
Bmj Open
Manaf Zargoush Somayeh Ghazalbash
Qtp-mace Protocol Appendices Aug2024
Anne Holbrook D Chew A Costa A Jones L Mbuagbaw D Perri F Razak A Verma J Roberts J Mcmullin S Wong Manaf Zargoush A Ford D Tscheng M Yousif C Nieuwstraten
A Data-driven Analytical Model For Predicting Functional Loss And Recovery Among Older Adults
Mm Hosseini Manaf Zargoush F Alem
Proceedings Of The International Conference On Industrial Engineering And Operations Management
Causal Risk Analysis; Revisiting The Vioxx Study
A Zargoush Manaf Zargoush Y Yih
