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An explainable machine learning model for predicting in-hospital amputation rate of patients with diabetic foot ulcer.
Xie, Puguang; Li, Yuyao; Deng, Bo; Du, Chenzhen; Rui, Shunli; Deng, Wu; Wang, Min; Boey, Johnson; Armstrong, David G; Ma, Yu; Deng, Wuquan.
Afiliação
  • Xie P; Department of Endocrinology and Metabolism, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
  • Li Y; College of Bioengineering, Chongqing University of China, Chongqing, China.
  • Deng B; Department of Endocrinology and Metabolism, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
  • Du C; College of Bioengineering, Chongqing University of China, Chongqing, China.
  • Rui S; Department of Endocrinology and Metabolism, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
  • Deng W; Department of Endocrinology and Metabolism, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
  • Wang M; College of Bioengineering, Chongqing University of China, Chongqing, China.
  • Boey J; Department of Endocrinology and Metabolism, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
  • Armstrong DG; College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China.
  • Ma Y; Department of Endocrinology and Metabolism, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
  • Deng W; College of Bioengineering, Chongqing University of China, Chongqing, China.
Int Wound J ; 19(4): 910-918, 2022 May.
Article em En | MEDLINE | ID: mdl-34520110
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pé Diabético / Diabetes Mellitus Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pé Diabético / Diabetes Mellitus Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article