Improving the diagnosis of mild hypertrophic cardiomyopathy with MapReduce

Hypertrophic Cardiomyopathy (HCM), an inherited heart disease, is the most common cause of sudden cardiac death in young athletes. Successful diagnosis of mild HCM presents a major medical challenge, especially in athletes with exercise-induced hypertrophy that overlaps with HCM. This is due to a wide spectrum of non-specific clinical parameters and their complex dependencies. Recently, medical researchers proposed multidisciplinary strategies, defining differential diagnostic scoring algorithms, with the goal of identifying which parameters correlate with HCM in order to achieve faster and more accurate diagnosis. These algorithms require extensive testing against large medical datasets in order to identify potential correlations, and assess the overall algorithmic quality and diagnostic accuracy.