TY  - JOUR 
AU  - Duminuco, A.
AU  - Mosquera Orgueira, Adrián
AU  - Nardo, A.
AU  - Di Raimondo, F.
AU  - Palumbo, G.A.
PY  - 2023
SN  - 2573-8348
UR  - http://hdl.handle.net/20.500.11940/21037
AB  - Background: In myelofibrosis (MF), new model scores are continuously proposed to improve the ability to better identify patients with the worst outcomes. In this context, the Artificial Intelligence Prognostic Scoring System for Myelofibrosis...
LA  - eng
KW  - Humans
KW  - Prognosis
KW  - Primary Myelofibrosis
KW  - Artificial Intelligence
KW  - Machine Learning
TI  - AIPSS-MF machine learning prognostic score validation in a cohort of myelofibrosis patients treated with ruxolitinib
DO  - 10.1002/cnr2.1881
T2  - Cancer Reports
KW  - AS Santiago
KW  - CHUS
VL  - 6
ER  -