Manaf Zargoush

Dr. Manaf Zargoush

Associate Professor

Health Policy and Management

CONTACT INFORMATION

BIO

Dr. Manaf Zargoush is an assistant 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.

JOURNAL PUBLICATIONS

December 2021

The Impact Of Recency And Adequacy Of Historical Information On Sepsis Predictions Using Machine Learning

JOURNAL : SCIENTIFIC REPORTS

CONTRIBUTORS: Manaf Zargoush, A Sameh, M Javadi, S Shabani, S Ghazalbash,
December 2021

Examining The Predictability And Prognostication Of Multimorbidity Among Older Delayed-discharge Patients: A Machine Learning Analytics

JOURNAL : INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

CONTRIBUTORS: S Ghazalbash, Manaf Zargoush, F Mowbray,
August 2020

Predicting Hospital Admission For Older Emergency Department Patients: Insights From Machine Learning

JOURNAL : INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

CONTRIBUTORS: F Mowbray, Manaf Zargoush, A Jones, ,
March 2018

Designing Risk?adjusted Therapy For Patients With Hypertension

JOURNAL : PRODUCTION AND OPERATIONS MANAGEMENT

CONTRIBUTORS: Manaf Zargoush, M Gumus, V Verter, S Daskalopoulou
December 2017

Using Observed Sequence To Orient Causal Networks

JOURNAL : HEALTH CARE MANAGEMENT SCIENCE

CONTRIBUTORS: F Alemi, Manaf Zargoush, J Vang
February 2016

Sequence Of Functional Loss And Recovery In Nursing Homes

JOURNAL : GERONTOLOGIST

CONTRIBUTORS: Cr Levy, Manaf Zargoush, Ae Williams, Ar Williams, P Giang, J Wojtusiak, Re Kheirbek, F Alemi
July 2015

Causal Analysis Of Emergency Department Delays

JOURNAL : QUALITY MANAGEMENT IN HEALTH CARE

CONTRIBUTORS: Re Kheirbek, S Beygi, Manaf Zargoush, F Alemi, Aw Smith, Rd Fletcher, Pn Seton, Ba Hawkins
January 2014

A Psychological Approach To Learning Causal Networks.

JOURNAL : HEALTH CARE MANAGEMENT SCIENCE

CONTRIBUTORS: Manaf Zargoush, F Alemi, V Esposito vinzi, J Vang, R Kheirbek
January 2013

Comparative Effectiveness Of Hypoglycemic Medications Among Veterans

JOURNAL : JOURNAL OF MANAGED CARE PHARMACY

CONTRIBUTORS: Re Kheirbek, F Alemi, Manaf Zargoush
December 2011

Genetic Markers Anticipate Response To Citalopram In A Majority Of Patients

JOURNAL : PSYCHIATRIC GENETICS

CONTRIBUTORS: F Alemi, Manaf Zargoush, H Erdman, J Vang, S Epstein, F Ayman
January 2011

A Simple Method For Causal Analysis Of Return On It Investment

JOURNAL : JOURNAL OF HEALTHCARE ENGINEERING

CONTRIBUTORS: F Alemi, Manaf Zargoush, Jl Oakes, H Edrees

OTHER PUBLICATIONS

January 2019

A Data-driven Analytical Model For Predicting Functional Loss And Recovery Among Older Adults

CONFERENCE : PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT

CONTRIBUTORS: Mm Hosseini, Manaf Zargoush, F Alem

Identifying Predictors Of Covid-19 And Associated Risk Factors In Long-term Care And Retirement Homes Using Facility Administrative Data

CONTRIBUTORS: , Andrew Costa, Manaf Zargoush, Ahmad Von schlegell