Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network.

Journal: Journal of biomedical informatics
Published Date: Aug 24, 2019

Abstract

OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during continuous hemodialysis (HD) sessions, referred to as multiple-session patterns (MSPs), and explore whether deep learning models with MSPs have better performance.

Authors

  • Feng Wang
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Yu Tian
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Ping Zhang
    Department of Computer Science and Engineering, The Ohio State University, USA.
  • Jianghua Chen
    Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, China. Electronic address: chenjianghua@zju.edu.cn.
  • Jingsong Li
    Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China.

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