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

Digital Science, Open Science (78) Data Science (268) Epublishing and Open Access (86) Artificial Intelligence (1369) Big Data (239) Machine Learning (1463) Intensive Care Unit (ICU) (112)

Published on in Vol 26 (2024)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48330, first published .
Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study

Authors of this article:

Yuhe Ke1 Author Orcid Image ;   Rui Yang2 Author Orcid Image ;   Nan Liu2 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Yuhe Ke   1 * , MBBS ;   Rui Yang   2 * , MSc ;   Nan Liu   2 , PhD

1 Division of Anesthesiology and Perioperative Medicine, Singapore General Hospital, Singapore, Singapore

2 Centre for Quantitative Medicine, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore

*these authors contributed equally

Corresponding Author:

  • Nan Liu, PhD
  • Centre for Quantitative Medicine
  • Duke-NUS Medical School
  • National University of Singapore
  • 8 College Road
  • Singapore, 169857
  • Singapore
  • Phone: 65 66016503
  • Email: liu.nan@duke-nus.edu.sg