MACHINE LEARNING APPROACHES FOR CLINICAL DIAGNOSIS: LEUKEMIA

Abstract

Leukemia is a cancer of blood cells that affects both children and adults. The morphological
structure of leukemia cell and a normal cell is very similar thus posing a great challenge for the
medical practitioner for an accurate diagnosis. Machine learning approaches can be applied to
the classification of malignant cells.