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PROJECT TOPIC:  SMART HEALTH PREDICTION SYSTEM WITH DATA MINING
Department:  Software Engineering
AMOUNT:  7500
FORMAT:   MS WORD
PAGES:  82
 
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Background and justification

            In healthcare industry, data mining along with machine learning is used for disease prediction.Medical field has wide amount of data that can be processed by the help of data mining techniques. It might have happened before that yourself or someone near you want immediate help of doctor but could not find anyone. By creating a model that can predict the diseases based on user symptoms is quite helpful in getting fast and appropriate medical facilities for patients. The timely analysis of data and gaining accurate prediction of diseases from symptoms can save many lives. Early detection of diseases helps doctor to give accurate medication. In the field of medicine different algorithms of machine learning are used for predicting different diseases and helps the physicians to diagnose fast. Based on the input of data the accuracy of results may vary.

            Data mining can be described as a process of searching patterns or correlations from a large data sets to valuable information that can solve problems and predict outcomes. It involves analyzing certain amount of information to locate certain patterns of occurrence to predict future tendencies, using several processes of effective data collection, warehousing and computer processing. Data mining is one of the fields of computer science that uses the existing data in medical field to predict the occurrence of diseases. By the use of machine learning and database management tools we can extract new patterns from group of large datasets and gain knowledge. 

 

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