Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes

por Ravaut, Mathieu, Harish, Vinyas, Sadeghi, Hamed, Leung, Kin Kwan, Volkovs, Maksims, Kornas, Kathy, Watson, Tristan, Poutanen, Tomi, Rosella, Laura C.
Publicado 2021

Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study

por Yi, Seung Eun, Harish, Vinyas, Gutierrez, Jahir, Ravaut, Mathieu, Kornas, Kathy, Watson, Tristan, Poutanen, Tomi, Ghassemi, Marzyeh, Volkovs, Maksims, Rosella, Laura C
Publicado 2022

Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data

por Ravaut, Mathieu, Sadeghi, Hamed, Leung, Kin Kwan, Volkovs, Maksims, Kornas, Kathy, Harish, Vinyas, Watson, Tristan, Lewis, Gary F., Weisman, Alanna, Poutanen, Tomi, Rosella, Laura
Publicado 2021

Developing Machine Learning Algorithms on Routinely Collected Administrative Health Data - Lessons from Ontario, Canada.

por Harish, Vinyas, Ravaut, Mathieu, Yi, Seung Eun, Gutierrez, Jahir, Sadeghi, Hamed, Leung, Kin Kwan, Watson, Tristan, Kornas, Kathy, Poutanen, Tomi, Volkovs, Maksims, Rosella, Laura
Publicado 2022