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Digital mental health
Original research
Comparison of prediction methods for treatment continuation of antipsychotics in children and adolescents with schizophrenia

Authors

  • Soo Min Jeon BK21 FOUR Community–Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea PubMed articlesGoogle scholar articles
  • Jaehyeong Cho Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Dong Yun Lee Department of Biomedical informatics, Ajou University School of Medicine, Ajou University, Suwon, Gyeonggi-do, Republic of Korea PubMed articlesGoogle scholar articles
  • Jin-Won Kwon BK21 FOUR Community–Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Jin-Won Kwon, BK21 FOUR Community–Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea (the Republic of); jwkwon{at}knu.ac.kr
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Citation

Jeon SM, Cho J, Lee DY, et al
Comparison of prediction methods for treatment continuation of antipsychotics in children and adolescents with schizophrenia
BMJ Ment Health 2022;25:e26-e33.

Publication history

  • Received December 13, 2021
  • Accepted March 25, 2022
  • First published April 13, 2022.
Online issue publication 
December 19, 2022

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© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.