Predicting machine's performance record using the stacked long short-term memory (LSTM) neural networks.

Journal: Journal of applied clinical medical physics
Published Date: Feb 16, 2022

Abstract

PURPOSE: The record of daily quality control (QC) items shows machine performance patterns and potentially provides warning messages for preventive actions. This study developed a neural network model that could predict the record and trend of data variations quantitively.

Authors

  • Min Ma
    Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Chenbin Liu
    Department of Radiation Oncology, Chinese Academy of Medical Science (CAMS) Shenzhen Cancer Hospital, Shenzhen, 518116, China.
  • Ran Wei
  • Bin Liang
    Image Processing Center, Beihang University, Beijing 100191, People's Republic of China. Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China.
  • Jianrong Dai
    National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

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