A slow feature based LSTM network for susceptibility assessment of acute mountain sickness with heterogeneous data-Reference-Cited by-同舟云学术

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A slow feature based LSTM network for susceptibility assessment of acute mountain sickness with heterogeneous data

Published:2023-02 Issue: Volume:80 Page:104355
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Lei,Xiao Rong^ORCID,Chen Jing,Zhu Lingling,Shi Dawei,Wang Junzheng

Funder

NSFC

Beijing Municipal Science and Technology Commission

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference39 articles.

1. Predicting susceptibility to acute mountain sickness;Miller;Lancet,1983

2. High-altitude illness;Hackett;N. Engl. J. Med.,2001

3. High-altitude illness;Basnyat;Lancet,2003

4. The cerebral effects of ascent to high altitudes;Wilson;Lancet Neurol,2009

5. Human-performance engineering at high altitude;Yu;Sci. Supp.,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recent advances in predicting acute mountain sickness: from multidimensional cohort studies to cutting-edge model applications;Frontiers in Physiology;2024-06-24

2. Event-Triggered Pseudo Supervised Meta Learning for Susceptibility Assessment of Acute Mountain Sickness;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

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