Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia

Abstract

This approach to mixed-type data handling and selection of distance metric captured well-understood, binary, prognostic markers in chronic lymphocytic leukemia (sex, IGHV mutation status, ZAP70 expression status) with high fidelity.