Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey.

Journal: Environmental health and preventive medicine
PMID: 39805606

Abstract

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiovascular diseases, affecting vital organs such as the heart, brain, and kidneys. Our goal is to predict the risk of new onset hypertension using machine learning algorithms and identify the characteristics of patients with new onset hypertension.

Authors

  • Manhui Zhang
    Department of Disease Control and Prevention, The Seventh Medical Center of Chinese PLA General Hospital.
  • Xian Xia
    Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China; Department of Pharmacology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210023, China.
  • Qiqi Wang
    Yidu Cloud (Beijing) Technology Co. Ltd, Beijing, China.
  • Yue Pan
    Department of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of TCM, Tianjin 300193, China.
  • Guanyi Zhang
    Department of Neurology, Beijing Tiantan Hospital, Capital Medical University.
  • Zhigang Wang
    Institute for Medical Science and Technology, University of Dundee, Dundee DD2 1FD, UK.

Keywords

External Resources

Popular Topics
Recent Journals