A machine learning approach to predicting risk of myelodysplastic syndrome.
Journal:
Leukemia research
Published Date:
Oct 1, 2021
Abstract
BACKGROUND: Early myelodysplastic syndrome (MDS) diagnosis can allow physicians to provide early treatment, which may delay advancement of MDS and improve quality of life. However, MDS often goes unrecognized and is difficult to distinguish from other disorders. We developed a machine learning algorithm for the prediction of MDS one year prior to clinical diagnosis of the disease.