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

Xu, Jie; Chen, Danxiang; Deng, Xiaofang; Pan, Xiaoyun; Chen, Yu; Zhuang, Xiaoming; Sun, Caixia

Xu, Jie; Chen, Danxiang; Deng, Xiaofang; Pan, Xiaoyun; Chen, Yu; Zhuang, Xiaoming; Sun, Caixia.

Afiliação

Xu J; Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Chen D; Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Deng X; Nursing department, Wenzhou Medical University, Wenzhou, China.
Pan X; Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Chen Y; Nursing Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zhuang X; Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Sun C; Nursing Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Int Wound J ; 19(7): 1637-1649, 2022 Nov.

Article em En | MEDLINE | ID: mdl-35077000

Assuntos

Unidades de Terapia Intensiva; Aprendizado de Máquina; Úlcera por Pressão; Humanos; Algoritmos; Registros Eletrônicos de Saúde; Estudos Retrospectivos

Palavras-chave

electronic medical record; machine learning algorithm; pressure injury; risk prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Úlcera por Pressão / Aprendizado de Máquina / Unidades de Terapia Intensiva Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int Wound J Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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