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The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses.
Qu, Chaoran; Luo, Weixiang; Zeng, Zhixiong; Lin, Xiaoxu; Gong, Xuemei; Wang, Xiujuan; Zhang, Yu; Li, Yun.
Afiliação
  • Qu C; Department of the Operating Room, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong, China.
  • Luo W; Department of Nursing Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong, China.
  • Zeng Z; Department of the Operating Room, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong, China.
  • Lin X; Department of the Operating Room, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong, China.
  • Gong X; Department of the Operating Room, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong, China.
  • Wang X; Department of the Operating Room, Shenzhen Second People's Hospital (The First Affiliated Hospital, Shenzhen University), Shenzhen 518040, Guangdong, China.
  • Zhang Y; Department of the Operating Room, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong, China.
  • Li Y; Department of the Operating Room, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong, China.
Heliyon ; 8(11): e11361, 2022 Nov.
Article em En | MEDLINE | ID: mdl-36387440
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Heliyon Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Heliyon Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido