In the current era of technology, evolution of medical sciences becomes an active field of research as people have more curiosity towards their health. Different techniques of data mining are used to mine the information from various data patterns. Prior, PC was used to manufacture an information based clinical result which utilizes learning from therapeutic specialists and moves this information into PC calculations physically. This process takes lot of time and gives subjective results as this information only depends on medical professional only. To overcome these type of problems various techniques of machine learning are used to extract important medical patterns from the raw data. In this paper, we have critically analyzed various data mining techniques to gather informative patterns from data sets in medical sciences.

Informative Patterns, Clinical Databases, Data Mining, Prediction, Machine Learning

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