Jeremy Petch

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Clinical Decision Support

Bioinformatics Analysis

Top Venues

Journal of medical Internet research

JMIR formative research

JMIR medical informatics

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di, Michael H McGillion, Laura C Rosella, Alistair Edward William Johnson, Philip J Devereaux, Jeremy Petch
Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review. Journal of medical Internet research 26 (2024)
Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di, Michael H McGillion, Laura C Rosella, Alistair Edward William Johnson, Philip J Devereaux, Jeremy Petch
Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review. Journal of medical Internet research 26 (2024)
Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di, Michael H McGillion, Laura C Rosella, Alistair Edward William Johnson, Philip J Devereaux, Jeremy Petch
Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review. Journal of medical Internet research 26 (2024)
Juan Pablo Tabja Bortesi, Jonathan Ranisau, Shuang Di, Michael H McGillion, Laura C Rosella, Alistair Edward William Johnson, Philip J Devereaux, Jeremy Petch
Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review. Journal of medical Internet research 26 (2024)
Paula Voorheis, Aunima R Bhuiya, Kerry Kuluski, Quynh Pham, Jeremy Petch
Making Sense of Theories, Models, and Frameworks in Digital Health Behavior Change Design: Qualitative Descriptive Study. Journal of medical Internet research 25 (2023)
Walter Nelson, Nityan Khanna, Mohamed Ibrahim, Justin Fyfe, Maxwell Geiger, Keith Edwards, Jeremy Petch
Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation. JMIR formative research 7 (2023)
Jeremy Petch, Joel Kempainnen, Christopher Pettengell, Steven Aviv, Bill Butler, Greg Pond, Ashirbani Saha, Jessica Bogach, Alexandria Allard-Coutu, Peter Sztur, Jonathan Ranisau, Mark N Levine
Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center. JCO clinical cancer informatics 7 (2023)
Paula Voorheis, Aunima R Bhuiya, Kerry Kuluski, Quynh Pham, Jeremy Petch
Making Sense of Theories, Models, and Frameworks in Digital Health Behavior Change Design: Qualitative Descriptive Study. Journal of medical Internet research 25 (2023)
Walter Nelson, Nityan Khanna, Mohamed Ibrahim, Justin Fyfe, Maxwell Geiger, Keith Edwards, Jeremy Petch
Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation. JMIR formative research 7 (2023)
Matteo Di Scipio, Mohammad Khan, Shihong Mao, Michael Chong, Conor Judge, Nazia Pathan, Nicolas Perrot, Walter Nelson, Ricky Lali, Shuang Di, Robert Morton, Jeremy Petch, Guillaume Paré
A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets. Nature communications 14 (1) (2023)
Walter Nelson, Nityan Khanna, Mohamed Ibrahim, Justin Fyfe, Maxwell Geiger, Keith Edwards, Jeremy Petch
Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation. JMIR formative research 7 (2023)
Paula Voorheis, Aunima R Bhuiya, Kerry Kuluski, Quynh Pham, Jeremy Petch
Making Sense of Theories, Models, and Frameworks in Digital Health Behavior Change Design: Qualitative Descriptive Study. Journal of medical Internet research 25 (2023)
Paula Voorheis, Albert Zhao, Kerry Kuluski, Quynh Pham, Ted Scott, Peter Sztur, Nityan Khanna, Mohamed Ibrahim, Jeremy Petch
Integrating Behavioral Science and Design Thinking to Develop Mobile Health Interventions: Systematic Scoping Review. JMIR mHealth and uHealth 10 (3) (2022)
Shuang Di, Jeremy Petch, Ulagamadesan Venkatesan, Ruoqing Zhu, Diana Sherifali
Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study. JMIR formative research 6 (9) (2022)
Sankavi Muralitharan, Walter Nelson, Shuang Di, Michael H McGillion, Philip J Devereaux, Neil Grant Barr, Jeremy Petch
Machine Learning-Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review. Journal of medical Internet research 23 (2) (2021)
Jeremy Petch, Jane Batt, Joshua Murray, Muhammad M Mamdani
Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study. JMIR medical informatics 7 (4) (2019)