Your browser doesn't support javascript.
loading
A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record.
Ningrum, Dina Nur Anggraini; Kung, Woon-Man; Tzeng, I-Shiang; Yuan, Sheng-Po; Wu, Chieh-Chen; Huang, Chu-Ya; Muhtar, Muhammad Solihuddin; Nguyen, Phung-Anh; Li, Jack Yu-Chuan; Wang, Yao-Chin.
Afiliación
  • Ningrum DNA; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Kung WM; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Tzeng IS; Public Health Department, Faculty of Sport Science, Universitas Negeri Semarang, Semarang City, Indonesia.
  • Yuan SP; Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan.
  • Wu CC; Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan.
  • Huang CY; Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.
  • Muhtar MS; Department of Statistics, National Taipei University, Taipei, Taiwan.
  • Nguyen PA; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Li JY; Department of Otorhinolaryngology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
  • Wang YC; Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan.
J Multidiscip Healthc ; 14: 2477-2485, 2021.
Article en En | MEDLINE | ID: mdl-34539180
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 Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Multidiscip Healthc Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Nueva Zelanda
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Multidiscip Healthc Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Nueva Zelanda