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Abstract
Big data in the healthcare has been growing rapidly in recent years. A massive amount of patient’s data is generated through various sources in this digitalized environment including wearable devices, mobile devices, electronic health records and medical centres. The medical data, which are exploding exponentially includes a large volume of structured and unstructured data. Patients information is shared and managed by many sources such as insurance, in the form of prescription, healthcare providers including the attackers which causes a severe security threats their confidential data. Cybercriminals use a variety of social engineering attacks like phishing, leakage of data, embedding virus and trojan horse into the attachments, DNS snooping, sniffing, and many more. In this paper a brief overview is done on different data mining and security techniques which are implemented in healthcare data. The study and its presentation in this context would be helpful in not only analysing but also predicting chronic diseases depending upon the available stored data which has been collected from various sources in the area of medical expert system.