A Survey on Medical Data Mining for Periodically Frequent Diseases

Abstract: Medical data mining is the field of research pertaining to health care domain which helps in capturing latent relationships among attributes. This kind of knowledge discovery in modern world has become indispensable as clinical data is very huge and manual interpretation is not possible. Mining transactional databases containing medical data has plethora of real world utilities such as medical diagnosis, expert decision making and so on. Medical data mining also helps in promoting evidence based research that is essential and suitable for health care industry. Though there are many areas of research in medical data mining, in this paper, we focus on the data mining approaches or methods that help in finding periodically frequent diseases. A pattern which occurs at regular time intervals is said to be periodically-frequent. Periodic frequent pattern discovery can help people concerned to make well informed decisions. Towards this end, we analyze various methods that are used in medical data mining for discovering actionable knowledge pertaining to periodically frequent diseases.

Keywords: Data mining, medical data mining, frequent patterns, periodically frequent diseases