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

Machine Learning (54) Registered Report (568) Artificial Intelligence (1289) Clinical Information and Decision Making (35) Nursing Records (14) Secondary Use of Clinical Data for Research and Surveillance (349)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52190, first published .
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management

Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management

Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management

Authors of this article:

Dhavalkumar Patel1 Author Orcid Image ;   Prem Timsina1 Author Orcid Image ;   Larisa Gorenstein2 Author Orcid Image ;   Benjamin S Glicksberg3 Author Orcid Image ;   Ganesh Raut1 Author Orcid Image ;   Satya Narayan Cheetirala1 Author Orcid Image ;   Fabio Santana1 Author Orcid Image ;   Jules Tamegue1 Author Orcid Image ;   Arash Kia1 Author Orcid Image ;   Eyal Zimlichman4, 5 Author Orcid Image ;   Matthew A Levin6, 7, 8 Author Orcid Image ;   Robert Freeman1 Author Orcid Image ;   Eyal Klang3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Dhavalkumar Patel   1 * , MSc ;   Prem Timsina   1 , PhD ;   Larisa Gorenstein   2 , MD ;   Benjamin S Glicksberg   3 , PhD ;   Ganesh Raut   1 , MSc ;   Satya Narayan Cheetirala   1 , MSc ;   Fabio Santana   1 , BSc ;   Jules Tamegue   1 , BSc ;   Arash Kia   1 , MD ;   Eyal Zimlichman   4, 5 , MD ;   Matthew A Levin   6, 7, 8 , MD ;   Robert Freeman   1 , PhD ;   Eyal Klang   3 * , MD

1 Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 Division of Diagnostic Imaging, Sheba Medical Center, Tel-Aviv University, Tel Aviv, Israel

3 Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, United States

4 Hospital Management, Sheba Medical Center, Tel-Aviv University, Tel Aviv, Israel

5 ARC Innovation Center, Sheba Medical Center, Tel-Aviv University, Tel Aviv, Israel

6 Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

7 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States

8 Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States

*these authors contributed equally

Corresponding Author:

  • Dhavalkumar Patel, MSc
  • Institute for Healthcare Delivery Science
  • Icahn School of Medicine at Mount Sinai
  • 2nd Floor
  • 150 East 42nd Street
  • New York, NY, 10017
  • United States
  • Phone: 1 (212) 523-5555
  • Email: pateldhaval021@hotmail.com