TY  - JOUR
AU  - Mosquera Orgueira, Adrian
AU  - Gonzalez Perez, Marta Sonia
AU  - Diaz Arias, Jose
AU  - Rosiñol, Laura
AU  - Oriol, Albert
AU  - Teruel, Ana Isabel
AU  - Martinez Lopez, Joaquin
AU  - Palomera, Luis
AU  - Granell, Miguel
AU  - Blanchard, Maria Jesus
AU  - de la Rubia, Javier
AU  - Lopez de la Guia, Ana
AU  - Rios, Rafael
AU  - Sureda, Anna
AU  - Hernandez, Miguel Teodoro
AU  - Bengoechea, Enrique
AU  - Calasanz, Maria Jose
AU  - Gutierrez, Norma
AU  - Martin, Maria Luis
AU  - Blade, Joan
AU  - Lahuerta, Juan-Jose
AU  - San Miguel, Jesus
AU  - Mateos, Maria Victoria
PY  - 2022
DO  - 10.1038/s41408-022-00647-z
UR  - http://hdl.handle.net/10668/19515
T2  - Blood cancer journal
AB  - The International Staging System (ISS) and the Revised International Staging System (R-ISS) are commonly used prognostic scores in multiple myeloma (MM). These methods have significant gaps, particularly among intermediate-risk groups. The aim of this...
LA  - en
PB  - Nature Publishing Group
KW  - Humans
KW  - Multiple Myeloma
KW  - Neoplasm Staging
KW  - Prognosis
KW  - Risk Assessment
KW  - Unsupervised Machine Learning
KW  - Humans
KW  - Multiple Myeloma
KW  - Injury Severity Score
KW  - Unsupervised Machine Learning
KW  - Risk Assessment
KW  - Cytogenetic Analysis
TI  - Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma: an analysis of the Spanish Myeloma Group.
TY  - research article
VL  - 12
ER  -