John Curtin

Professor

University of Wisconsin-Madison

United States

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Professor John Curtin is a faculty member at the University of Wisconsin-Madison, USA. His research primarily focuses on eHealth interventions for older adults with multiple chronic conditions, as well as the application of machine learning in predicting substance use behaviors. Recent articles highlight his work on using technology to improve health outcomes and quality of life among vulnerable populations.

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

Collaborators (11)

Fan (Ellie) YANG

Assistant Professor

Illinois State University

UNITED STATES

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Stephanie Ward

University of Wisconsin-Madison

UNITED STATES

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Lauren M. Papp

UNITED STATES

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Daniel Bradford

Oregon State University

UNITED STATES

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Ming-Yuan Chih

Associate Professor

University of Kentucky

UNITED STATES

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Rachel Kornfield

Northwestern University

UNITED STATES

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Marie‐Louise Mares

UNITED STATES

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Dhavan Shah

University of Wisconsin-Madison

UNITED STATES

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Shari M. Blumenstock

University of Wisconsin-Madison

UNITED STATES

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Olivia Vjorn

University of Wisconsin-Madison

UNITED STATES

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Darcie Johnston

University of Wisconsin-Madison

UNITED STATES

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John Curtin

Research Interests

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About

Articles (10)

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study

Using Smart Displays to Implement an eHealth System for Older Adults with Multiple Chronic Conditions: A Randomized Controlled Trial (Preprint)

Couple-Focused Smartphone Intervention to Reduce Problem Drinking: A Randomized Pilot Trial (Preprint)

An eHealth Intervention to Improve Quality of Life, Socioemotional, and Health-Related Measures Among Older Adults With Multiple Chronic Conditions: Randomized Controlled Trial

Machine learning models for temporally precise lapse prediction in alcohol use disorder.

Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum

Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study

Real-time momentary mood as a predictor of college students’ prescription drug misuse in daily life: Direct links and the moderating role of background mental health.

Alcohol’s Effects During Uncertain and Uncontrollable Stressors in the Laboratory

Collaborators (11)

Fan (Ellie) YANG

Stephanie Ward

Lauren M. Papp

Daniel Bradford

Ming-Yuan Chih

Rachel Kornfield

Marie‐Louise Mares

Dhavan Shah

Shari M. Blumenstock

Olivia Vjorn

Darcie Johnston

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