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

Artificial Intelligence (1377) Clinical Information and Decision Making (1411) Machine Learning (1471) Data Science (271) Pulmonology, COPD (143) Respiratory Medicine (83) Secondary Use of Clinical Data for Research and Surveillance (368)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48595, first published .
Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study

Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study

Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study

Authors of this article:

Ori Ben Yehuda1 Author Orcid Image ;   Edward Itelman2, 3 Author Orcid Image ;   Adva Vaisman2 Author Orcid Image ;   Gad Segal2 Author Orcid Image ;   Boaz Lerner1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Ori Ben Yehuda   1 * , BSc, MSc ;   Edward Itelman   2, 3 * , MD ;   Adva Vaisman   2 , MD ;   Gad Segal   2 , MD ;   Boaz Lerner   1 , BA, MSc, PhD

1 Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel

2 Education Authority, Chaim Sheba Medical Center, Faculty of Health Science and Medicine, Tel-Aviv University, Tel-Aviv, Israel

3 Cardiology Division, Rabin Medical Center, Petach-Tikva, Israel

*these authors contributed equally

Corresponding Author:

  • Boaz Lerner, BA, MSc, PhD
  • Department of Industrial Engineering and Management
  • Ben-Gurion University of the Negev
  • POB 653
  • Beer-Sheva, 84105
  • Israel
  • Phone: 972 +972544399763
  • Email: boaz@bgu.ac.il