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Traditionally the enormous quantities of medical data are utilized only for clinical and short term use. MediQuery puts to use this vast storage of information so that diagnosis based on this historical data can be made. There are systems to predict diseases of the heart, brain and lungs based on past data collected from the patients. We focus on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining Neural Networks, Bayesian Classification and Differential Diagnosis all integrated into one single approach. The system uses a Service Oriented Architecture (SOA) wherein the system components of diagnosis, information portal and other miscellaneous services provided are coupled.
Carvalho et al. (Wed,) studied this question.