NOVEL KEY VARIABLES IN THE SURVIVAL OF PATIENTS WITH MYELODYSPLASTIC NEOPLASMS: A PRACTICAL APPROACH USING MACHINE LEARNING

Introduction: Prognostic models like the IPSS-R play a crucial role in assessing outcomes for patients with myelodysplastic neoplasms (MDS). However, recent advancements in machine learning (ML) offer the potential to uncover novel predictive variables and enhance prognostic accuracy. Models like El...

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Bibliografische Detailangaben

Hauptverfasser:	PRC Passos, RDB Dias, SCC Carneiro, IB Nogueira, JMGF Lima, RC Venâncio, ACG Lavor, JVG Gama, RF Pinheiro, SMM Magalhães
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-10-01
Schriftenreihe:	Hematology, Transfusion and Cell Therapy
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2531137924010964
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