Your browser doesn't support javascript.
loading
Machine Learning Classification Algorithms to Predict aGvHD following Allo-HSCT: A Systematic Review.
Salehnasab, Cirruse; Hajifathali, Abbas; Asadi, Farkhondeh; Roshandel, Elham; Kazemi, Alireza; Roshanpoor, Arash.
Afiliação
  • Salehnasab C; Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Hajifathali A; Hematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Asadi F; Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Roshandel E; Hematopoietic Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Kazemi A; Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Roshanpoor A; Department of Computer Science, Sama Technical and Vocational Training College, Tehran Branch (Tehran), Islamic Azad University (IAU), Tehran, Iran.
Methods Inf Med ; 58(6): 205-212, 2019 Dec.
Article em En | MEDLINE | ID: mdl-32349154
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Transplante de Células-Tronco Hematopoéticas / Aprendizado de Máquina / Doença Enxerto-Hospedeiro Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Methods Inf Med Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Irã
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Transplante de Células-Tronco Hematopoéticas / Aprendizado de Máquina / Doença Enxerto-Hospedeiro Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Methods Inf Med Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Irã