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

Hocheol Shin   1 , MSc ;   Cindra Tri Yuniar   2 , MSc ;   SuA Oh   1 , MSc ;   Sujata Purja   1 , MSc ;   Sera Park   1 , PharmD ;   Haeun Lee   1 , BSc ;   Eunyoung Kim   1, 3 , BPS, PharmD, PhD

1 Evidence-Based Clinical Research Laboratory, Department of Health Science and Clinical Pharmacy, Chung-Ang University, Seoul, Republic of Korea

2 Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia

3 Regulatory Science Pharmacy, College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea

Corresponding Author:

  • Eunyoung Kim, BPS, PharmD, PhD
  • Evidence-Based Clinical Research Laboratory
  • Department of Health Science and Clinical Pharmacy
  • Chung-Ang University
  • Heok-seok Ro 84
  • Seoul, 06974
  • Republic of Korea
  • Phone: 82 28205791
  • Email: eykimjcb777@cau.ac.kr