Using machine learning to determine the correlation between physiological and environmental parameters and the induction of acute mountain sickness

Using machine learning to determine the correlation between physiological and environmental parameters and the induction of acute mountain sickness

Abstract Background Recent studies on acute mountain sickness (AMS) have used fixed-location and fixed-time measurements of environmental and physiological variable to determine the influence of AMS-associated factors in the human body. This study aims to measure, in real time, environmental conditi...

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Bibliographic Details
Main Authors: Chih-Yuan Wei, Ping-Nan Chen, Shih-Sung Lin, Tsai-Wang Huang, Ling-Chun Sun, Chun-Wei Tseng, Ke-Feng Lin
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Bioinformatics
Subjects:
Acute mountain sickness
Physiological information
Lake Louise acute mountain sickness score
Blood oxygen saturation
Heart rate variability
Multivariate analysis
Online Access:https://doi.org/10.1186/s12859-022-04749-0

Internet

https://doi.org/10.1186/s12859-022-04749-0

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