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Jason D. Morgenstern
Jason D. Morgenstern
McMaster University
Public health
Machine learning
Nutritional epidemiology
Artificial intelligence
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4
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4
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Impact of disasters, including pandemics, on cardiometabolic outcomes across the life-course: a systematic review.
2021
BMJ Open
Vanessa De Rubeis
Jinhee Lee
Muhammad Saqib Anwer
Yulika Yoshida-Montezuma
Alessandra T. Andreacchi
Erica Stone
Saman Iftikhar
Jason D. Morgenstern
Reid Rebinsky
Sarah E. Neil-Sztramko
Elizabeth Alvarez
Emma Apatu
Laura N. Anderson
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Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.
2021
Advances in Nutrition
Jason D. Morgenstern
Laura C. Rosella
Andrew P. Costa
Russell J. de Souza
Laura N. Anderson
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Identifying non-traditional electronic datasets for population-level surveillance and prevention of cardiometabolic diseases: a scoping review protocol.
2021
BMJ Open
Reid Rebinsky
Laura N. Anderson
Jason D. Morgenstern
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Applying Machine Learning to Explore Nutrients Predictive of Cardiovascular Disease Using Canadian Linked Population-Based Data
2020
Jason D. Morgenstern
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