The New Method of Feature Selection for Intradialytic Hypotension Prediction using Machine learning

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

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Intradialytic hypotension (IDH) is a common complication and make patient get brain and heart disease. This study aimed to use the new method of feature selection to improve the performance of IDH prediction. We used feature importance by a different model to sort from high to low one by one, remove the lowest feature importance, and follow the rule again. Therefore, we obtain the combination of feature values that have the highest accuracy for predictive power. After applying REFCV with linear regression, the AUC of ROC increased to 0.966 (2-layers LSTM) and 0.965 (3-layers LSTM). The feature selection method we designed resulted in a better prediction ability in the model.

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69-70
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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