SYSTEM(S) AND METHOD(S) TO FACILITATE DATA PROCESSING FOR PREDICTING MEDICAL DISORDERS

摘要

System and method to facilitate prediction of neurological disorders is disclosed. System comprises distributed databases to store medical data and processors linked to cloud platform for accessing data stored in distributed databases. System applies statistical processing technique on data to generate statistical data which comprises genetic variables and neural images and applies regression technique on statistical data to prepare correlations between genetic variables and neural images to obtain first set of values. System filters first set of values to obtain statistical significant values and generates dataset based on first set of values, statistical significant values and prescription data. System accepts dataset, develops supervised learned methodology to derive data patterns. Supervised learned methodology is technique to identify abnormal statistical data representing disorder. Data patterns are abnormal statistical values representing disorder. System maps data patterns to pre-stored neurological disorder data to identify abnormal statistical values from data pattern to predict neurological disorder.