Machine learning-based prediction for incident hypertension based on regular health checkup data: derivation and validation in two independent nationwide cohorts in South Korea and Japan

Hwang, Seung Ha; Lee, Hayeon; Lee, Jun Hyuk; Lee, Myeongcheol; Koyanagi, Ai; Smith, Lee; Rhee, Sang Youl; Yon, Dong Keon; Lee, Jinseok

Machine learning-based prediction for incident hypertension based on regular health checkup data: derivation and validation in two independent nationwide cohorts in South Korea and Japan

journal contribution

posted on 2024-10-17, 13:40 authored by Seung Ha Hwang, Hayeon Lee, Jun Hyuk Lee, Myeongcheol Lee, Ai Koyanagi, Lee Smith, Sang Youl Rhee, Dong Keon Yon, Jinseok Lee

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Item sub-type

Article

Refereed

Yes

Publication title

Journal of Medical Internet Research

ISSN

1438-8871

Publisher

JMIR Publications

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Accepted version

Affiliated with

School of Psychology and Sport Science Outputs

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Keywords

Machine Learning Hypertension Prediction 08 Information and Computing Sciences 11 Medical and Health Sciences 17 Psychology and Cognitive Sciences Medical Informatics 4203 Health services and systems

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CC BY-NC-ND 4.0

Machine learning-based prediction for incident hypertension based on regular health checkup data: derivation and validation in two independent nationwide cohorts in South Korea and Japan

History

Item sub-type

Refereed

Publication title

ISSN

Publisher

File version

Affiliated with

Usage metrics

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Keywords

Licence

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