ASH 2022 | Enhancing myelofibrosis prognostication with machine learning
In this video, Adrian Mosquera Orgueira, MD, PhD, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Santiago de Compostela, Spain, discusses a study undertaken by the Spanish Registry of Myelofibrosis to improve prognostication for patients with myelofibrosis (MF). The team attempted to use machine learning (ML) to improve prognostication using clinical data for a large cohort of patients. The resulting tool provided an improved prognostication to standard algorithms, including the MIPSS70 in primary MF and the MYSEC-PM in secondary MF. This interview took place at the 64th ASH Annual Meeting and Exposition congress in New Orleans, LA.
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Disclosures
Roche, Amgen, AstraZeneca, Janssen, Abbvie, Takeda, Brystol, GSK, Pfizer,: Consultancy, Honoraria, Research Funding.
