Automatic Detection of Seasonal Diseases from Medical Data
Diagnosing diseases from medical data is one most fascinating research area which has caught attention to lot of researchers. Medical data consists of health records of patients which are the electronic records of the patients when they visit hospital for consultation or treatment. Most of the earlier works did not consider the time dimension of the records medical data that time of visit of patients. Here, we try to address the time attribute separately which has an important role to determine disease’s time period of occurrences. So basically we are interested on those diseases which occur in a fuzzy time period. This paper presents a noble approach which navigates the medical and tries to identify frequent diseases with their approximate time period of existence. The method’s effectiveness is demonstrated through the analysis of time complexity.