دورية أكاديمية

Artificial intelligence methods to estimate overall mortality and non-relapse mortality following allogeneic HCT in the modern era: an EBMT-TCWP study

التفاصيل البيبلوغرافية
العنوان: Artificial intelligence methods to estimate overall mortality and non-relapse mortality following allogeneic HCT in the modern era: an EBMT-TCWP study
المؤلفون: Mussetti, A., Rius-Sansalvador, B., Moreno, V., Peczynski, C., Polge, E., Galimard, J. E., Kröger, N., Blaise, D., Peffault de Latour, R., Kulagin, A., Mousavi, A., Stelljes, M., Hamladji, R. M., Middeke, J. M., Salmenniemi, U., Sengeloev, H., Forcade, E., Platzbecker, U., Reményi, P., Angelucci, E., Chevallier, P., Yakoub-Agha, I., Craddock, C., Ciceri, F., Schroeder, T., Aljurf, M., Ch, Koenecke, Moiseev, I., Penack, O., Schoemans, H., Mohty, M., Glass, B., Sureda, A., Basak, G., Peric, Z.
المصدر: Bone Marrow Transplantation ; volume 59, issue 2, page 232-238 ; ISSN 0268-3369 1476-5365
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2023
مصطلحات موضوعية: Transplantation, Hematology
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1038/s41409-023-02147-5
الإتاحة: https://doi.org/10.1038/s41409-023-02147-5Test
https://www.nature.com/articles/s41409-023-02147-5.pdfTest
https://www.nature.com/articles/s41409-023-02147-5Test
حقوق: https://www.springernature.com/gp/researchers/text-and-data-miningTest ; https://www.springernature.com/gp/researchers/text-and-data-miningTest
رقم الانضمام: edsbas.647D831
قاعدة البيانات: BASE