[Application of recurrent neural network in prognosis of peritoneal dialysis].

Journal: Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Published Date:

Abstract

OBJECTIVE: Deep learning models, including recurrent neural network (RNN) and gated recurrent unit (GRU), were used to construct the clinical prognostic prediction models for peritoneal dialysis (PD) patients based on routine clinical data. The performance of the RNN and GRU were compared with logistic regression (LR), which is commonly used in medical researches. The possible underlining clinical implications based on the result from the GRU model were also investigated.

Authors

  • W Tang
    Department of Nephrology, Peking University Third Hospital, Beijing 100191, China.
  • J Y Gao
    Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing 100871, China.
  • X Y Ma
    Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing 100871, China.
  • C H Zhang
    Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing 100871, China.
  • L T Ma
    Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing 100871, China.
  • Y S Wang
    Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing 100871, China.