Predicting Childhood and Adolescence Hypertension: Analysis of Predictors Using Machine Learning
ML prediction models can accurately predict childhood prehypertension and hypertension at 1 and 3 years, independent of BP and laboratory measurements. The identified key predictors may inform areas for personalized prevention in hypertension.
Authors
- Hengyan Liu (ORCID: https://orcid.org/0009-0001-7834-7691)
- Dyt Fong (ORCID: https://orcid.org/0000-0001-7365-9146)
- Pui Hing Chau (ORCID: https://orcid.org/0000-0003-0287-8020)
- Yik‐Chung Wu (ORCID: https://orcid.org/0000-0002-2738-0387)
- Thomas Chung
- Weibin Kou
Institutions
- Department of Health (CN)
- Chinese University of Hong Kong (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- PEDIATRICS
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1542/peds.2024-066675
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00