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American Journal of Preventive Medicine
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May 12, 2015
Looking Beyond Income and Education: Socioeconomic Status Gradients Among Future High-Cost Users of Health Care
Tiffany Fitzpatrick, Laura C Rosella, Andrew Calzavara, et al.
Contemporary Clinical Trials
|
October 17, 2022
Machine learning for detecting centre-level irregularities in randomized controlled trials: A pilot study
Jeremy Petch, Walter Nelson, Shuang Di, et al.
Learning Health Systems
|
July 22, 2024
Breast cancer learning health system: Patient information from a data and analytics platform characterizes care provided
Mark N Levine, Joel Kemppainen, Morgan Rosenberg, et al.
Journal of Medical Internet Research
|
January 18, 2024
Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review
Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di, et al.
Journal of Medical Internet Research
|
May 11, 2026
AI-Based Automation for Medication Reconciliation: Scoping Review
Juan Pablo Tabja Bortesi, Maria P Becerra, Jonathan Ranisau, et al.
European Heart Journal. Digital Health
|
March 19, 2026
An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease
Jeremy Petch, Shuang Di, Tristan Watson, et al.
Annals of Epidemiology
|
April 30, 2013
Geographic variation in work injuries: a multilevel analysis of individual-level data and area-level factors within Canada
Sara Morassaei, F Curtis Breslin, Selahadin A Ibrahim, et al.
JCO Clinical Cancer Informatics
|
March 31, 2023
Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center
Jeremy Petch, Joel Kempainnen, Christopher Pettengell, et al.
Nature Communications
|
August 25, 2023
A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets
Matteo Di Scipio, Mohammad Khan, Shihong Mao, et al.
Scientific Reports
|
February 24, 2024
Optimizing warfarin dosing for patients with atrial fibrillation using machine learning
Jeremy Petch, Walter Nelson, Mary Wu, et al.
Page
of 4
Search research articles
Search
Showing results (21-30 of 37) with videos related to
Sort By:
Page
of 4
American Journal of Preventive Medicine
|
May 12, 2015
Looking Beyond Income and Education: Socioeconomic Status Gradients Among Future High-Cost Users of Health Care
Tiffany Fitzpatrick, Laura C Rosella, Andrew Calzavara, et al.
Contemporary Clinical Trials
|
October 17, 2022
Machine learning for detecting centre-level irregularities in randomized controlled trials: A pilot study
Jeremy Petch, Walter Nelson, Shuang Di, et al.
Learning Health Systems
|
July 22, 2024
Breast cancer learning health system: Patient information from a data and analytics platform characterizes care provided
Mark N Levine, Joel Kemppainen, Morgan Rosenberg, et al.
Journal of Medical Internet Research
|
January 18, 2024
Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review
Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di, et al.
Journal of Medical Internet Research
|
May 11, 2026
AI-Based Automation for Medication Reconciliation: Scoping Review
Juan Pablo Tabja Bortesi, Maria P Becerra, Jonathan Ranisau, et al.
European Heart Journal. Digital Health
|
March 19, 2026
An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease
Jeremy Petch, Shuang Di, Tristan Watson, et al.
Annals of Epidemiology
|
April 30, 2013
Geographic variation in work injuries: a multilevel analysis of individual-level data and area-level factors within Canada
Sara Morassaei, F Curtis Breslin, Selahadin A Ibrahim, et al.
JCO Clinical Cancer Informatics
|
March 31, 2023
Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center
Jeremy Petch, Joel Kempainnen, Christopher Pettengell, et al.
Nature Communications
|
August 25, 2023
A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets
Matteo Di Scipio, Mohammad Khan, Shihong Mao, et al.
Scientific Reports
|
February 24, 2024
Optimizing warfarin dosing for patients with atrial fibrillation using machine learning
Jeremy Petch, Walter Nelson, Mary Wu, et al.
Page
of 4