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

Reviews in Medical Informatics (93) Artificial Intelligence (1371) Machine Learning (1465) Pressure Ulcers and Decubitus Wounds (25)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25704, first published .
Using Machine Learning Technologies in Pressure Injury Management: Systematic Review

Using Machine Learning Technologies in Pressure Injury Management: Systematic Review

Using Machine Learning Technologies in Pressure Injury Management: Systematic Review

Authors of this article:

Mengyao Jiang1 Author Orcid Image ;   Yuxia Ma1 Author Orcid Image ;   Siyi Guo2 Author Orcid Image ;   Liuqi Jin2 Author Orcid Image ;   Lin Lv3 Author Orcid Image ;   Lin Han1, 4 Author Orcid Image ;   Ning An2 Author Orcid Image
Article Authors Cited by (37) Tweetations (3) Metrics

Mengyao Jiang   1 * , MSN ;   Yuxia Ma   1 * , MSN ;   Siyi Guo   2 , BSc ;   Liuqi Jin   2 , BSc ;   Lin Lv   3 , MSN ;   Lin Han   1, 4 , PhD ;   Ning An   2 , PhD

1 Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China

2 Key Laboratory of Knowledge Engineering with Big Data of the Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

3 Wound and Ostomy Center, Outpatient Department, Gansu Provincial Hospital, Lanzhou, China

4 Department of Nursing, Gansu Provincial Hospital, Lanzhou, China

*these authors contributed equally

Corresponding Author:

  • Lin Han, PhD
  • Department of Nursing
  • Gansu Provincial Hospital
  • No 160, Donggang West Road, Chengguan District
  • Lanzhou, 730000
  • China
  • Phone: 86 0931-8281971
  • Fax: 86 0931-8556807
  • Email: LZU-hanlin@hotmail.com