Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals

Eugene Jeong; Namgi Park; Young Choi; Rae Woong Park; Dukyong Yoon

doi:10.1371/journal.pone.0207749

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Open Access

Peer-reviewed

Research Article

Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals

Eugene Jeong,

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea
⨯
Namgi Park,

Roles Data curation, Validation

Affiliations Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea, College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
⨯
Young Choi,

Roles Validation

Affiliations Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Gyeonggi-do, Republic of Korea

http://orcid.org/0000-0002-8314-6130

⨯
Rae Woong Park,

Roles Supervision

Affiliations Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Gyeonggi-do, Republic of Korea
⨯
Dukyong Yoon

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: d.yoon.ajou@gmail.com

Affiliations Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Gyeonggi-do, Republic of Korea

http://orcid.org/0000-0003-1635-8376

⨯

Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals

Eugene Jeong,
Namgi Park,
Young Choi,
Rae Woong Park,
Dukyong Yoon

Published: November 21, 2018
https://doi.org/10.1371/journal.pone.0207749

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