Acute mountain sickness prediction: a concerto of multidimensional phenotypic data and machine learning strategies in the framework of predictive, preventive, and personalized medicine.

Journal: The EPMA journal
Published Date: Mar 31, 2025

Abstract

BACKGROUND: Acute mountain sickness (AMS) is a self-limiting illness, involving a complex series of physiological responses to rapid ascent to high altitudes, where the body is exposed to lower oxygen levels (hypoxia) and changes in atmospheric pressure. AMS is the mildest and most common form of altitude sickness; however, without adequate preparation and adherence to ascent guidelines, it can progress to life-threatening conditions.

Authors

  • Wenhui Li
    College of Computer Science and Technology, Jilin University.
  • Meng Zhang
    College of Software, Beihang University, Beijing, China.
  • Yangyi Hu
    Department of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing 100850, China.
  • Pan Shen
    Department of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing 100850, China.
  • Zhijie Bai
    Department of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing 100850, China.
  • Chaoji Huangfu
    Department of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850 China.
  • Zhexin Ni
    Department of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing 100850, China.
  • Dezhi Sun
    Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China.
  • Ningning Wang
    Department of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing 100850, China.
  • Pengfei Zhang
    Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese National Health Commission, Department of Cardiology, Qilu Hospital of Shandong University. N0.107 Wenhuaxi Road, Jinan, Shanodng Province, China. Electronic address: pengf-zhang@163.com.
  • Li Tong
    Dept. of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332.
  • Yue Gao
    Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
  • Wei Zhou
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Keywords

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