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

Applications of AI (126) Artificial Intelligence (1510) Clinical Information and Decision Making (1482) Cardiology (173) Cardiovascular Disease Prevention (151) Computer-Aided Diagnosis (149)

Published on in Vol 4 (2025)

This is a member publication of Iowa State University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64188, first published .
Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms

Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms

Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms

Authors of this article:

Yiqun Jiang1 Author Orcid Image ;   Qing Li2 Author Orcid Image ;   Yu-Li Huang1 Author Orcid Image ;   Wenli Zhang3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yiqun Jiang   1 , PhD ;   Qing Li   2 , PhD ;   Yu-Li Huang   1 , PhD ;   Wenli Zhang   3 , PhD

1 Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States

2 Department of Industrial & Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States

3 Department of Information Systems and Business Analytics, Iowa State University, Ames, IA, United States

Corresponding Author:

  • Wenli Zhang, PhD
  • Department of Information Systems and Business Analytics
  • Iowa State University
  • 2167 Union Drive
  • Ames, IA, 50011-2027
  • United States
  • Phone: 1 5152942469
  • Email: wlzhang@iastate.edu