Analysis of Epigenetics and Epidemiology of Acute Myeloid Leukemia with Machine Learning

Abstract

Epidemiology of Acute Myeloid Leukemia shows strong genetic and epigenetic links by types and severity. To study the disease, patient samples are translated into data. Using advanced data analytics techniques, supervised machine learning, epigenetic research acquires efficiency for synthesis and building knowledge based on clinical data. There are known factors supported by research. The combination of factor produces higher severity in Acute Myeloid Leukemia by clinical considerations, AML subclass, and methylation.