Publication | Closed Access
A survey on technique for prediction of disease in medical data
11
Citations
17
References
2017
Year
EngineeringDiagnosisPattern MiningHidden PatternsDisease ClassificationComputational MedicineOptimization-based Data MiningData ScienceData MiningBiostatisticsPublic HealthDisease DiagnosisClassical Clinical DiagnosisPrediction ModellingPredictive AnalyticsKnowledge DiscoveryDecision Support SystemsClinical DataEpidemiologyMedical Data MiningEvolutionary Data MiningDisease PredictionMedical DataMedicineHealth Informatics
In today's era data mining plays important role for prediction of diseases in medical field. With the growing research on disease predicting system, it has become important to discover hidden patterns and relationships from medical databases. In classical clinical diagnosis, it requires lots of tests which could complicate the disease prediction. Hence the data mining techniques can help medical expertise to take the decision about the disease using computer aided decision support system. In this paper comprehensive survey on various data mining techniques used for disease prediction is presented.
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