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

Infodemiology and Infoveillance (1349) Machine Learning (1465) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Ecological Momentary Assessment (EMA) (309) Attention Deficit Disorder (ADD/ADHD) (60)

Published on in Vol 22, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16466, first published .
Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study

Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study

Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study

Authors of this article:

Myeong Gyu Kim1 Author Orcid Image ;   Jungu Kim1 Author Orcid Image ;   Su Cheol Kim2 Author Orcid Image ;   Jaegwon Jeong2 Author Orcid Image
Article Authors Cited by (25) Tweetations (9) Metrics

Myeong Gyu Kim   1 , PhD ;   Jungu Kim   1 , BSc ;   Su Cheol Kim   2 , MD ;   Jaegwon Jeong   2 , MD

1 Graduate School of Clinical Pharmacy, CHA University, Pocheon, Republic of Korea

2 Department of Psychiatry, Anam Hospital, Seoul, Republic of Korea

Corresponding Author:

  • Myeong Gyu Kim, PhD
  • Graduate School of Clinical Pharmacy
  • CHA University
  • 120 Haeryong-ro
  • Pocheon, 11160
  • Republic of Korea
  • Phone: 82 031-881-7187
  • Fax: 82 031-881-7069
  • Email: kimmg@cha.ac.kr