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Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease.
Kwak, Seyul; Oh, Dae Jong; Jeon, Yeong-Ju; Oh, Da Young; Park, Su Mi; Kim, Hairin; Lee, Jun-Young.
Afiliação
  • Kwak S; Department of Psychology, Pusan National University, Busan, Republic of Korea.
  • Oh DJ; Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Jeon YJ; Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Oh DY; Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Park SM; Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Kim H; Department of Counseling Psychology, Hannam University, Daejeon, Republic of Korea.
  • Lee JY; Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
J Alzheimers Dis ; 85(3): 1357-1372, 2022.
Article em En | MEDLINE | ID: mdl-34924390

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva / Aprendizado de Máquina / Desempenho Físico Funcional / Testes Neuropsicológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva / Aprendizado de Máquina / Desempenho Físico Funcional / Testes Neuropsicológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article