Unsupervised machine learning improves risk stratification in newly diagnosed multiple myeloma : an analysis of the Spanish Myeloma Group

Bibliographische Detailangaben

Hauptverfasser:	Mosquera Orgueira, Adrian, González Pérez, Marta Sonia, Diaz Arias, José, Rosiñol, Laura, Oriol, Albert, Teruel, Ana Isabel, Martínez-López, Joaquín, Palomera, Luis, Granell, Miquel, Blanchard, María Jesús, de la Rubia, Javier, López de la Guia, Ana, Ríos-Tamayo, Rafael, Sureda, Anna, Hernández, Miguel Teodoro, Bengoechea, Enrique, Calasanz, M.J, Gutierrez, Norma, Martin, María Luís, Bladé Creixenti, Juan, Lahuerta, J. J, San-Miguel, J, Mateos, M. V, Universitat Autònoma de Barcelona
Format:	Artikel
Sprache:	eng
Schlagworte:	Humans Multiple Myeloma Neoplasm Staging Prognosis Risk Assessment Unsupervised Machine Learning
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