Your browser doesn't support javascript.
loading
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-ß oligomerization data.
Youn, Young Chul; Kim, Hye Ryoun; Shin, Hae-Won; Jeong, Hae-Bong; Han, Sang-Won; Pyun, Jung-Min; Ryoo, Nayoung; Park, Young Ho; Kim, SangYun.
Afiliación
  • Youn YC; Department of Neurology, Chung-Ang University College of Medicine, Seoul, 06973, Republic of Korea. neudoc@cau.ac.kr.
  • Kim HR; Department of Medical Informatics, Chung-Ang University College of Medicine, Seoul, 06973, Republic of Korea. neudoc@cau.ac.kr.
  • Shin HW; Department of Laboratory Medicine, Chung-Ang University College of Medicine, Seoul, 06973, Republic of Korea.
  • Jeong HB; Department of Neurology, Chung-Ang University College of Medicine, Seoul, 06973, Republic of Korea.
  • Han SW; Department of Neurology, Chung-Ang University College of Medicine, Seoul, 06973, Republic of Korea.
  • Pyun JM; Department of Neurology, Chung-Ang University College of Medicine, Seoul, 06973, Republic of Korea.
  • Ryoo N; Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, 04401, Republic of Korea.
  • Park YH; Department of Neurology, The Catholic University of Korea Eunpyeong St. Mary's Hospital, Seoul, 03312, Republic of Korea.
  • Kim S; Department of Neurology, Seoul National University College of Medicine and Clinical Neuroscience Center, Seoul National University Bundang Hospital, Seongnam-si, Gyeoggi-do, 13629, Republic of Korea.
BMC Med Inform Decis Mak ; 22(1): 286, 2022 11 07.
Article en En | MEDLINE | ID: mdl-36344984
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: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article 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: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido