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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14272, first published .
Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Mohammad Amin Morid 1, PhD;  Olivia R Liu Sheng 2, PhD;  Guilherme Del Fiol 3, MD, PhD;  Julio C Facelli 3, 4, PhD;  Bruce E Bray 3, 5, MD;  Samir Abdelrahman 3, 6, MSc, PhD

1 Department of Information Systems and Analytics, Leavey School of Business, Santa Clara University, Santa Clara, CA, US

2 Department of Operations and Information Systems, David Eccles School of Business, University of Utah, Salt Lake City, UT, US

3 Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, US

4 Center for Clinical and Translational Science, University of Utah , Salt Lake City, UT, US

5 Division of Cardiovascular Medicine, School of Medicine, University of Utah, Salt Lake City, UT, US

6 Computer Science Department, Faculty of Computers and Information, Cairo University , Cairo , EG

Corresponding Author:

  • Samir Abdelrahman, MSc, PhD
  • Department of Biomedical Informatics
  • School of Medicine
  • University of Utah
  • Research Park
  • Salt Lake City, UT
  • US
  • Phone: 1 8015875237
  • Email: samir.abdelrahman@utah.edu