This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1186) Clinical Information and Decision Making (1407) Intensive Care Unit (ICU) (112)

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

Authors of this article:

Mohammad Amin Morid1 Author Orcid Image ;   Olivia R Liu Sheng2 Author Orcid Image ;   Guilherme Del Fiol3 Author Orcid Image ;   Julio C Facelli3, 4 Author Orcid Image ;   Bruce E Bray3, 5 Author Orcid Image ;   Samir Abdelrahman3, 6 Author Orcid Image
Article Authors Cited by (15) Tweetations (2) Metrics

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, United States

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

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

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

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

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

Corresponding Author:

  • Samir Abdelrahman, MSc, PhD
  • Department of Biomedical Informatics
  • School of Medicine
  • University of Utah
  • Research Park
  • Salt Lake City, UT, 84108
  • United States
  • Phone: 1 8015875237
  • Email: samir.abdelrahman@utah.edu