Your browser doesn't support javascript.
loading
Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
Kitcharanant, Nitchanant; Chotiyarnwong, Pojchong; Tanphiriyakun, Thiraphat; Vanitcharoenkul, Ekasame; Mahaisavariya, Chantas; Boonyaprapa, Wichian; Unnanuntana, Aasis.
Afiliación
  • Kitcharanant N; Department of Orthopaedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
  • Chotiyarnwong P; Department of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, 10700, Bangkok, Thailand.
  • Tanphiriyakun T; Department of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, 10700, Bangkok, Thailand. pojchong@hotmail.com.
  • Vanitcharoenkul E; Department of Orthopaedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
  • Mahaisavariya C; Biomedical Informatics Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
  • Boonyaprapa W; Department of Orthopaedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, 10700, Bangkok, Thailand.
  • Unnanuntana A; Golden Jubilee Medical Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
BMC Geriatr ; 22(1): 451, 2022 05 24.
Article en En | MEDLINE | ID: mdl-35610589
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Fracturas de Cadera Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans País/Región como asunto: Asia Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2022 Tipo del documento: Article País de afiliación: Tailandia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Fracturas de Cadera Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans País/Región como asunto: Asia Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2022 Tipo del documento: Article País de afiliación: Tailandia Pais de publicación: Reino Unido