Development and validation of a machine learning <scp>algorithm–based</scp> risk prediction model of pressure injury in the intensive care unit-Reference-Cited by-同舟云学术

Development and validation of a machine learning algorithm–based risk prediction model of pressure injury in the intensive care unit

Published:2022-01-25 Issue:7 Volume:19 Page:1637-1649
ISSN:1742-4801
Container-title:International Wound Journal
language:en
Short-container-title:International Wound Journal

Author:

Xu Jie¹,Chen Danxiang²,Deng Xiaofang³,Pan Xiaoyun¹,Chen Yu⁴,Zhuang Xiaoming¹,Sun Caixia⁴

Affiliation:

1. Department of Thoracic Surgery The First Affiliated Hospital of Wenzhou Medical University Wenzhou China

2. Department of Breast Surgery The First Affiliated Hospital of Wenzhou Medical University Wenzhou China

3. Nursing department Wenzhou Medical University Wenzhou China

4. Nursing Department The First Affiliated Hospital of Wenzhou Medical University Wenzhou China

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Wiley

Subject

Dermatology,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/iwj.13764

Reference32 articles.

1. Pressure ulcers: Pathophysiology, epidemiology, risk factors, and presentation

2. Results of the 2008‐2009 international pressure ulcer prevalence survey and a 3‐year, acute care, unit‐specific analysis;VanGilder C;Ostomy Wound Manage,2009

3. Pressure Injury Research in the ICU

4. Identifying Risk Factors for Pressure Injury in Adult Critical Care Patients

5. Hospital acquired pressure injury prediction in surgical critical care patients

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