-
Loading metrics
Open Access
Peer-reviewed
Research Article
A novel approach to dry weight adjustments for dialysis patients using machine learning
-
Hae Ri Kim ,
Contributed equally to this work with: Hae Ri Kim, Hong Jin Bae
Roles Conceptualization, Data curation, Methodology, Writing – original draft
Affiliations Division of Nephrology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Sejong, South Korea, Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea
⨯ -
Hong Jin Bae ,
Contributed equally to this work with: Hae Ri Kim, Hong Jin Bae
Roles Conceptualization, Data curation, Methodology, Resources
Affiliation Division of Nephrology, Department of Internal Medicine, Cheongju St. Mary’s Hospital, Cheongju, South Korea
⨯ -
Jae Wan Jeon,
Roles Methodology, Resources, Validation
Affiliation Division of Nephrology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Sejong, South Korea
⨯ -
Young Rok Ham,
Roles Resources, Software
Affiliations Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea, Department of Medical Science, Medical School, Chungnam National University, Daejeon, South Korea
⨯ -
Ki Ryang Na,
Roles Supervision, Validation
Affiliations Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea, Department of Medical Science, Medical School, Chungnam National University, Daejeon, South Korea
⨯ -
Kang Wook Lee,
Roles Supervision, Validation
Affiliations Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea, Department of Medical Science, Medical School, Chungnam National University, Daejeon, South Korea
⨯ -
Yun Kyong Hyon ,
Roles Conceptualization, Funding acquisition, Project administration, Supervision, Validation, Writing – review & editing
* E-mail: hyon@nims.re.kr (YKH); daenii@cnu.ac.kr (DEC)
¶‡ These authors also contributed equally to this work.
Affiliation Medical Mathematics Division, National Institute for Mathematical Sciences, Daejeon, South Korea
⨯ -
Dae Eun Choi
Roles Conceptualization, Funding acquisition, Resources, Supervision, Validation, Writing – review & editing
* E-mail: hyon@nims.re.kr (YKH); daenii@cnu.ac.kr (DEC)
¶‡ These authors also contributed equally to this work.
Affiliations Department of Nephrology, Medical School, Chungnam National University, Daejeon, South Korea, Department of Medical Science, Medical School, Chungnam National University, Daejeon, South Korea
⨯
A novel approach to dry weight adjustments for dialysis patients using machine learning
- Hae Ri Kim,
- Hong Jin Bae,
- Jae Wan Jeon,
- Young Rok Ham,
- Ki Ryang Na,
- Kang Wook Lee,
- Yun Kyong Hyon,
- Dae Eun Choi
- Published: April 23, 2021
- https://doi.org/10.1371/journal.pone.0250467