Published on in Vol 8, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16349, first published .
Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

Journals

  1. Kim H, Kim Y, Park Y. Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study. JMIR mHealth and uHealth 2021;9(3):e22183 View
  2. Li R, Yin C, Yang S, Qian B, Zhang P. Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach. Journal of Medical Internet Research 2020;22(9):e20645 View