Prediction model development of late-onset preeclampsia using machine learning-based methods

Jong Hyun Jhee; SungHee Lee; Yejin Park; Sang Eun Lee; Young Ah Kim; Shin-Wook Kang; Ja-Young Kwon; Jung Tak Park

doi:10.1371/journal.pone.0221202

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Open Access

Peer-reviewed

Research Article

Prediction model development of late-onset preeclampsia using machine learning-based methods

Jong Hyun Jhee,

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

Affiliations Division of Nephrology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Korea
⨯
SungHee Lee,

Roles Data curation, Formal analysis, Methodology, Project administration

Affiliations Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea, Biostatics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea
⨯
Yejin Park,

Roles Conceptualization, Data curation, Validation

Affiliation Division of Maternal-Fetal Medicine, Institute of Women’s Medical Life Science, Department of Obstetrics and Gynecology, Yonsei University College of Medicine, Seoul, Korea
⨯
Sang Eun Lee,

Roles Conceptualization, Data curation, Supervision

Affiliations Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea, Biostatics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea
⨯
Young Ah Kim,

Roles Data curation, Supervision

Affiliation Department of Medical Informatics, Yonsei University Health System, Seoul, Korea
⨯
Shin-Wook Kang,

Roles Conceptualization, Supervision

Affiliation Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Korea
⨯
Ja-Young Kwon ,

Roles Conceptualization, Data curation, Supervision, Writing – review & editing

* E-mail: JTPARK@yuhs.ac(JTP); JAYKWON@yuhs.ac(JYK)

Affiliation Division of Maternal-Fetal Medicine, Institute of Women’s Medical Life Science, Department of Obstetrics and Gynecology, Yonsei University College of Medicine, Seoul, Korea
⨯
Jung Tak Park

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

* E-mail: JTPARK@yuhs.ac(JTP); JAYKWON@yuhs.ac(JYK)

Affiliation Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Korea
⨯

Prediction model development of late-onset preeclampsia using machine learning-based methods

Jong Hyun Jhee,
SungHee Lee,
Yejin Park,
Sang Eun Lee,
Young Ah Kim,
Shin-Wook Kang,
Ja-Young Kwon,
Jung Tak Park

Published: August 23, 2019
https://doi.org/10.1371/journal.pone.0221202

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13 Sep 2020
16:59 GMT
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data anomalies Posted by jwilliams651 on 13 Sep 2020 at 16:59 GMT

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