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Vinyas Harish

Showing results (11-20 of 22) with videos related to

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Current Treatment Options in Pediatrics|April 16, 2024
From Clinic to Computer and Back Again: Practical Considerations When Designing and Implementing Machine Learning Solutions for PediatricsSujay Nagaraj, Vinyas Harish, Liam G McCoy, et al.
BMC Public Health|September 10, 2024
Human factors methods in the design of digital decision support systems for population health: a scoping reviewHolland M Vasquez, Emilie Pianarosa, Renee Sirbu, et al.
JAMA Network Open|May 25, 2021
Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 DiabetesMathieu Ravaut, Vinyas Harish, Hamed Sadeghi, et al.
Communications Medicine|November 18, 2025
Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel diseaseGemma Postill, Vinyas Harish, Ijeoma Uchenna Itanyi, et al.
BMJ Open|April 2, 2022
Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort studySeung Eun Yi, Vinyas Harish, Jahir Gutierrez, et al.
PLOS Global Public Health|March 24, 2023
Geographic clustering of travel-acquired infections in Ontario, Canada, 2008-2020Vinyas Harish, Emmalin Buajitti, Holly Burrows, et al.
Clinical Epidemiology|January 5, 2026
Validity of the Leading Causes of Death Classification for Premature Mortality in Inflammatory Bowel Disease: A Population-Based Comparison with ICD-10 Coding in Ontario, CanadaGemma Postill, M Ellen Kuenzig, Pablo A Olivera, et al.
PLOS Digital Health|February 22, 2023
Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case studyVinyas Harish, Thomas G Samson, Lori Diemert, et al.
NPJ Digital Medicine|February 13, 2021
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health dataMathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, et al.
CMAJ Open|September 3, 2020
Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysisLiam G McCoy, Jonathan Smith, Kavya Anchuri, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Current Treatment Options in Pediatrics|April 16, 2024
From Clinic to Computer and Back Again: Practical Considerations When Designing and Implementing Machine Learning Solutions for PediatricsSujay Nagaraj, Vinyas Harish, Liam G McCoy, et al.
BMC Public Health|September 10, 2024
Human factors methods in the design of digital decision support systems for population health: a scoping reviewHolland M Vasquez, Emilie Pianarosa, Renee Sirbu, et al.
JAMA Network Open|May 25, 2021
Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 DiabetesMathieu Ravaut, Vinyas Harish, Hamed Sadeghi, et al.
Communications Medicine|November 18, 2025
Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel diseaseGemma Postill, Vinyas Harish, Ijeoma Uchenna Itanyi, et al.
BMJ Open|April 2, 2022
Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort studySeung Eun Yi, Vinyas Harish, Jahir Gutierrez, et al.
PLOS Global Public Health|March 24, 2023
Geographic clustering of travel-acquired infections in Ontario, Canada, 2008-2020Vinyas Harish, Emmalin Buajitti, Holly Burrows, et al.
Clinical Epidemiology|January 5, 2026
Validity of the Leading Causes of Death Classification for Premature Mortality in Inflammatory Bowel Disease: A Population-Based Comparison with ICD-10 Coding in Ontario, CanadaGemma Postill, M Ellen Kuenzig, Pablo A Olivera, et al.
PLOS Digital Health|February 22, 2023
Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case studyVinyas Harish, Thomas G Samson, Lori Diemert, et al.
NPJ Digital Medicine|February 13, 2021
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health dataMathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, et al.
CMAJ Open|September 3, 2020
Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysisLiam G McCoy, Jonathan Smith, Kavya Anchuri, et al.
Pageof 3