Personalized Recommendation System on Hadoop and HBase

Transforming big data into computational models for personalized medicine and health care

“…This framework has been used in the implementation of various applications, such as disease prediction in patients, diagnosis of cancer, patient emergency alerts, generation of disease decision rules, medical data quality assessment, and personalized recommendation systems. [4][5][6][7][8][9][10] In precision medicine, a patient's unique characteristics are used to tailor treatment in a manner that might be more elaborate than the standard course. For example, cardiologists currently use an algorithm that for a given patient predicts the occurrence of a myocardial infarction within 5 or 10 years based on body weight, arterial pressure, smoking status, blood lipid analysis results, and personal and family cardiovascular history.…”