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We built various models to predict mental health disruption by varying these parameters. We effectively performed a grid search varying these 2 parameters to find the best-performing combination. This document reports the best-performing models. All social media models used gradient boost [34] classifiers with 100 estimators, maximum depth of 10, and learning rate of 0.1.
JMIR Form Res 2024;8:e52316
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The Role of Academic Health Systems in Leading the “Third Wave” of Digital Health Innovation
In 2016, Steve Case, health care futurist, entrepreneur, investor, and former CEO of America Online, declared the health care industry ripe for disruption and predicted a “third wave” of innovation that would alter how we practice medicine [1]. This innovation would leverage big data, artificial intelligence, and machine learning to transform health care and finally achieve the reduced costs and improved outcomes demanded by the public.
JMIR Med Educ 2022;8(4):e32679
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