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 |