Big data is basically the data which is collected from different sources, which have basically five “V” characteristics viz; velocity, volume, value, variety and veracity. When we define the big data in artificial intelligence term it is called as big data analysis. This is the data of large size which can be processed, analysed and generated by the digital tools and different information learning systems to generate useful, predictable, descriptive data analysis. Big data is most widely used in medical science to calculate or predict the data and to communicate big/huge records over the cloud in real time span. In this article we discuss a hybrid approach to distribute the medical data, in this approach we embed PSM-PBC, DSV-CP and LFR-CM models to get a parallel framework which improve the accuracy and classification time of retrieval of data in real time.

Big data, PSM-PBC, DSV-CP, LFR-CM, hybrid, cloud, healthcare.