Differencing Time Series as an Important Feature Extraction for Intradialytic Hypotension Prediction using Machine Learning

Jiun Yi Yang, Hsiang Wei Hu, Chih Hao Liu, Kuan Yu Chen, Chi Hin Un, Chih Chiang Huang, Chou Cheng Chen, Chou Ching K. Lin, Hsuan Chang, Hsuan Ming Lin

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

Intradialytic hypotension (IDH) needs a real-time early warning system. Thus, the goal of the research is to design time-series differences of the features of IDH to increase the performance of the warning system. We created two new features called the time-relevant difference. These features were calculated by the current value minus the previous three values. The result showed a sensitivity of 88.9% and a specificity of 85.1%. Using the LightGBM, the sensitivity was 73.8%, and the specificity was 67.9%. Time series differences generated new eigenvalues for the model system for training of non-RNN-type algorithms to obtain acceptable values.

原文English
主出版物標題3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2021
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面19-20
頁數2
ISBN(電子)9781728193045
DOIs
出版狀態Published - 2021
事件3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2021 - Tainan, Taiwan
持續時間: 2021 5月 282021 5月 30

出版系列

名字3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2021

Conference

Conference3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2021
國家/地區Taiwan
城市Tainan
期間21-05-2821-05-30

All Science Journal Classification (ASJC) codes

  • 策略與管理
  • 可再生能源、永續發展與環境
  • 生物醫學工程
  • 安全、風險、可靠性和品質
  • 建築與營造
  • 健康政策
  • 健康(社會科學)

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