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Patient‐based prediction algorithm of relapse after allo‐HSCT for acute Leukemia and its usefulness in the decision‐making process using a machine learning approach
Although allogeneic hematopoietic stem cell transplantation (allo‐HSCT) is a curative therapy for high‐risk acute leukemia (AL), some patients still relapse. Since patients simultaneously have many prognostic factors, difficulties are associated with the construction of a patient‐based prediction al...
Autores principales: | Fuse, Kyoko, Uemura, Shun, Tamura, Suguru, Suwabe, Tatsuya, Katagiri, Takayuki, Tanaka, Tomoyuki, Ushiki, Takashi, Shibasaki, Yasuhiko, Sato, Naoko, Yano, Toshio, Kuroha, Takashi, Hashimoto, Shigeo, Furukawa, Tatsuo, Narita, Miwako, Sone, Hirohito, Masuko, Masayoshi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718546/ https://www.ncbi.nlm.nih.gov/pubmed/31305031 http://dx.doi.org/10.1002/cam4.2401 |
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