Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis

Jee Soo Park; Dong Wook Kim; Dongu Lee; Taeju Lee; Kyo Chul Koo; Woong Kyu Han; Byung Ha Chung; Kwang Suk Lee

doi:10.1371/journal.pone.0260517

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Open Access

Peer-reviewed

Research Article

Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis

Jee Soo Park ,

Contributed equally to this work with: Jee Soo Park, Dong Wook Kim

Roles Conceptualization, Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing

Affiliations Department of Urology, Yonsei University College of Medicine, Seoul, Korea, Department of Urology, Sorokdo National Hospital, Goheung, Korea
⨯
Dong Wook Kim ,

Contributed equally to this work with: Jee Soo Park, Dong Wook Kim

Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation

Affiliation Department of Oral and Maxillofacial Surgery, Yonsei University College of Dentistry, Seoul, Korea

https://orcid.org/0000-0001-6167-6475

⨯
Dongu Lee,

Roles Formal analysis, Methodology

Affiliation Department of Urology, Yonsei University College of Medicine, Seoul, Korea
⨯
Taeju Lee,

Roles Data curation

Affiliation Department of Urology, Yonsei University College of Medicine, Seoul, Korea
⨯
Kyo Chul Koo,

Roles Investigation, Project administration, Writing – review & editing

Affiliation Department of Urology, Yonsei University College of Medicine, Seoul, Korea
⨯
Woong Kyu Han,

Roles Supervision, Writing – review & editing

Affiliation Department of Urology, Yonsei University College of Medicine, Seoul, Korea
⨯
Byung Ha Chung,

Roles Project administration, Supervision, Writing – review & editing

Affiliation Department of Urology, Yonsei University College of Medicine, Seoul, Korea
⨯
Kwang Suk Lee

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

* E-mail: winner0428@gmail.com

Affiliations Department of Urology, Yonsei University College of Medicine, Seoul, Korea, Department of Mechanical Engineering, Yonsei University College of Engineering, Seoul, Korea

https://orcid.org/0000-0002-7961-8393

⨯

Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis

Jee Soo Park,
Dong Wook Kim,
Dongu Lee,
Taeju Lee,
Kyo Chul Koo,
Woong Kyu Han,
Byung Ha Chung,
Kwang Suk Lee

Published: December 1, 2021
https://doi.org/10.1371/journal.pone.0260517

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