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Predicting Long-term Survival After Allogeneic Hematopoietic Cell Transplantation in Patients With Hematologic Malignancies: Machine Learning-Based Model Development and Validation.
Choi, Eun-Ji; Jun, Tae Joon; Park, Han-Seung; Lee, Jung-Hee; Lee, Kyoo-Hyung; Kim, Young-Hak; Lee, Young-Shin; Kang, Young-Ah; Jeon, Mijin; Kang, Hyeran; Woo, Jimin; Lee, Je-Hwan.
Afiliação
  • Choi EJ; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Jun TJ; Big Data Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea.
  • Park HS; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee JH; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee KH; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kim YH; Division of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee YS; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kang YA; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Jeon M; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kang H; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Woo J; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee JH; Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
JMIR Med Inform ; 10(3): e32313, 2022 Mar 07.
Article em En | MEDLINE | ID: mdl-35254275
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2022 Tipo de documento: Article