Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes

التفاصيل البيبلوغرافية
العنوان: Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes
المؤلفون: Ahmad Zarzour, Tomas Radivoyevitch, Karam Al-Issa, Hetty E. Carraway, Betty K. Hamilton, Anjali S. Advani, Vera Adema, Bartlomiej P Przychodzen, Nour Abuhadra, Aziz Nazha, Mikkael A. Sekeres, Cassandra M. Hirsch, Jaroslaw P. Maciejewski, Aaron T. Gerds, Bhumika J. Patel, Sudipto Mukherjee
المصدر: Leukemia. 31:2848-2850
بيانات النشر: Springer Science and Business Media LLC, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Adult, Male, Oncology, Cancer Research, medicine.medical_specialty, MEDLINE, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, Young adult, Prognostic models, Aged, Aged, 80 and over, business.industry, Myelodysplastic syndromes, fungi, food and beverages, Hematology, Middle Aged, Prognosis, medicine.disease, Myelodysplastic Syndromes, 030220 oncology & carcinogenesis, Mutation, Mutation (genetic algorithm), Leukocytes, Mononuclear, Predictive power, Female, business, 030215 immunology
الوصف: Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes
تدمد: 1476-5551
0887-6924
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbc7ebfe7c6cd2fd38889294b900d026Test
https://doi.org/10.1038/leu.2017.266Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....bbc7ebfe7c6cd2fd38889294b900d026
قاعدة البيانات: OpenAIRE