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Real-world prediction of preclinical Alzheimer's disease with a deep generative model.
Hwang, Uiwon; Kim, Sung-Woo; Jung, Dahuin; Kim, SeungWook; Lee, Hyejoo; Seo, Sang Won; Seong, Joon-Kyung; Yoon, Sungroh.
  • Hwang U; Division of Digital Healthcare, Yonsei University, Wonju, 26493, Republic of Korea.
  • Kim SW; Department of Bio-convergence Engineering, Korea University, Seoul, 02841, Republic of Korea.
  • Jung D; Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
  • Kim S; Department of Bio-convergence Engineering, Korea University, Seoul, 02841, Republic of Korea.
  • Lee H; Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea; Neuroscience Center, Samsung Medical Center, Seoul, 06351, Republic of Korea.
  • Seo SW; Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea; Neuroscience Center, Samsung Medical Center, Seoul, 06351, Republic of Korea.
  • Seong JK; Department of Artificial Intelligence, Korea University, Seoul, 02841, Republic of Korea; School of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea; Interdisciplinary Program in Precision Public Health, College of Health Science, Korea University, Seoul, 02841, Republic of
  • Yoon S; Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Republic of Korea; Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, 08826, Republic of Korea. Electronic address: sryoon@snu.ac.kr.
Artif Intell Med ; 144: 102654, 2023 10.
Article en En | MEDLINE | ID: mdl-37783547
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article