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Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review
J Med Internet Res 2025;27:e69621
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Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review
Zhang et al [156] proposed a semisupervised learning framework to detect posts on drugs and their adverse reactions, extracted 7 independent features, identified the positive correlation between drug use and adverse reactions, and manually verified the accuracy. He et al [36] developed machine learning classifiers to identify and classify US tweets related to mask wearing during the COVID-19 pandemic so as to conduct subsequent qualitative content analysis.
J Med Internet Res 2023;25:e43349
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