An explainable machine learning model for predicting in‐hospital amputation rate of patients with diabetic foot ulcer-Reference-Cited by-同舟云学术

An explainable machine learning model for predicting in‐hospital amputation rate of patients with diabetic foot ulcer

Published:2021-09-14 Issue: Volume: Page:
ISSN:1742-4801
Container-title:International Wound Journal
language:en
Short-container-title:Int Wound J

Author:

Xie Puguang¹²,Li Yuyao¹²,Deng Bo¹,Du Chenzhen¹²,Rui Shunli¹,Deng Wu³,Wang Min¹²,Boey Johnson⁴^ORCID,Armstrong David G.⁵,Ma Yu¹²,Deng Wuquan¹²

Affiliation:

1. Department of Endocrinology and Metabolism Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University Chongqing China

2. College of Bioengineering, Chongqing University of China Chongqing China

3. College of Electronic Information and Automation, Civil Aviation University of China Tianjin China

4. Department of Podiatry National University Hospital Singapore

5. Department of Surgery Keck School of Medicine of the University of Southern California Los Angeles California USA

Publisher

Wiley

Subject

Dermatology,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/iwj.13691

Reference41 articles.

1. Global trends in diabetes complications: a review of current evidence;Harding JL;Diabetologia,2019

2. WHO global report on diabetes: a summary;Roglic G;Int J Noncommun Diseases,2016

3. Update on management of diabetic foot ulcers;Everett E;Ann N Y Acad Sci,2018

4. Diabetic foot;Mishra SC;BMJ,2017

5. Management of ischemic diabetic foot;Caravaggi C;J Cardiovasc Surg,2013

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