Augmented Decision-Making in wound Care: Evaluating the clinical utility of a Deep-Learning model for pressure injury staging-Reference-Cited by-同舟云学术

Augmented Decision-Making in wound Care: Evaluating the clinical utility of a Deep-Learning model for pressure injury staging

Published:2023-12 Issue: Volume:180 Page:105266
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Kim Jemin^ORCID,Lee Changyoon,Choi Sungchul,Sung Da-In,Seo Jeonga,Na Lee Yun,Hee Lee Joo,Jin Han Eun,Young Kim Ah,Suk Park Hyun,Jeong Jung Hye,Hoon Kim Jong,Hee Lee Ju

Publisher

Elsevier BV

Subject

Health Informatics

Reference33 articles.

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2. Global prevalence and incidence of pressure injuries in hospitalised adult patients: A systematic review and meta-analysis;Li;Int. J. Nurs. Stud.,2020

3. A pressure ulcers assessment system for diagnosis and decision making using convolutional neural networks;Liu;J. Formosan Med. Assoc.,2022

4. Pressure ulcers: Pathophysiology, epidemiology, risk factors, and presentation;Mervis;J. Am. Acad. Dermatol.,2019

5. Exploring practice variation in preventive pressure-ulcer care using data from a clinical data repository;Cho;Int. J. Med. Inf.,2011

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