Machine Learning-Based Prediction of Gout Using Polygenic Risk Scores and Clinical Variables: A Korean Cohort Study.

Kwak DH, Kim H, Park HW, Choi SS, Moon KW

DOI: 10.1159/000548169
Published: 2025
Container: Lifestyle genomics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1159/000548169,
  title = {Machine Learning-Based Prediction of Gout Using Polygenic Risk Scores and Clinical Variables: A Korean Cohort Study.},
  author = {Kwak DH and Kim H and Park HW and Choi SS and Moon KW},
  year = {2025},
  journal = {Lifestyle genomics},
  doi = {10.1159/000548169},
  url = {https://doi.org/10.1159/000548169}
}

RIS

TY  - JOUR
TI  - Machine Learning-Based Prediction of Gout Using Polygenic Risk Scores and Clinical Variables: A Korean Cohort Study.
AU  - Kwak DH
AU  - Kim H
AU  - Park HW
AU  - Choi SS
AU  - Moon KW
PY  - 2025
JO  - Lifestyle genomics
DO  - 10.1159/000548169
UR  - https://doi.org/10.1159/000548169
ER  -

APA

DH, K., H, K., HW, P., SS, C., & KW, M. (2025). Machine Learning-Based Prediction of Gout Using Polygenic Risk Scores and Clinical Variables: A Korean Cohort Study.. Lifestyle genomics. https://doi.org/10.1159/000548169

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pubmed · retrieved 2026-09-26T21:54:16.958Z