This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1657) Machine Learning (1488) Early Results from COVID-19 Studies (307) Decision Support for Health Professionals (1201) Substance Abuse (426) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (841) Infodemiology and Infoveillance (1362)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45146, first published .
The Adverse Effects and Nonmedical Use of Methylphenidate Before and After the Outbreak of COVID-19: Machine Learning Analysis

The Adverse Effects and Nonmedical Use of Methylphenidate Before and After the Outbreak of COVID-19: Machine Learning Analysis

The Adverse Effects and Nonmedical Use of Methylphenidate Before and After the Outbreak of COVID-19: Machine Learning Analysis

Authors of this article:

Hocheol Shin1 Author Orcid Image ;   Cindra Tri Yuniar2 Author Orcid Image ;   SuA Oh1 Author Orcid Image ;   Sujata Purja1 Author Orcid Image ;   Sera Park1 Author Orcid Image ;   Haeun Lee1 Author Orcid Image ;   Eunyoung Kim1, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Islam M, Islam M, Shourav N, Rahman I, Faisal F, Islam M, Sarker I. Exploring post-COVID-19 health effects and features with advanced machine learning techniques. Scientific Reports 2024;14(1) View