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Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods

We will flesh out our method’s technical details and write a user manual for Auto-ML.Figure 3 The highest model accuracy gained by Auto-ML over time.Aim 1 (d)Overview For Aim 1 (d), we aim to validate Auto-ML on seven benchmark modeling problems.

Gang Luo, Bryan L Stone, Michael D Johnson, Peter Tarczy-Hornoch, Adam B Wilcox, Sean D Mooney, Xiaoming Sheng, Peter J Haug, Flory L Nkoy

JMIR Res Protoc 2017;6(8):e175

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Using Mobile Apps to Assess and Treat Depression in Hispanic and Latino Populations: Fully Remote Randomized Clinical Trial

Abhishek Pratap, Brenna N Renn, Joshua Volponi, Sean D Mooney, Adam Gazzaley, Patricia A Arean, Joaquin A Anguera

J Med Internet Res 2018;20(8):e10130

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Assessing Depression in the Wild: Insights From Two Large-Scale Fully Mobile Randomized Clinical Trials

Abhishek Pratap, Joaquin A. Anguera, Brenna N. Renn, Joshua Volponi, David C. Atkins, Sean D. Mooney, Pat A. Areán

iproc 2017;3(1):e46

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The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework

Sean D Young

J Med Internet Res 2020;22(6):e15563

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Social Media as a New Vital Sign: Commentary

Sean D Young

J Med Internet Res 2018;20(4):e161

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Monitoring Freshman College Experience Through Content Analysis of Tweets: Observational Study

Sam Liu, Miaoqi Zhu, Sean D Young

JMIR Public Health Surveill 2018;4(1):e5

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Ethical Issues in Addressing Social Media Posts About Suicidal Intentions During an Online Study Among Youth: Case Study

Sean D Young, Renee Garett

JMIR Ment Health 2018;5(2):e33

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Twitter: A Novel Tool for Studying the Health and Social Needs of Transgender Communities

Evan A Krueger, Sean D Young

JMIR Ment Health 2015;2(2):e16

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The Australian Longitudinal Study on Women's Health: Using Focus Groups to Inform Recruitment

Meredith Tavener, Rosemary Mooney, Clare Thomson, Deborah Loxton

JMIR Res Protoc 2016;5(1):e31

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Using Real-Time Social Media Technologies to Monitor Levels of Perceived Stress and Emotional State in College Students: A Web-Based Questionnaire Study

Sam Liu, Miaoqi Zhu, Dong Jin Yu, Alexander Rasin, Sean D Young

JMIR Ment Health 2017;4(1):e2

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