1. Application of Data Mining Techniques for Medical Data Classification: A Review
- Author
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Saima Anwar Lashari, N. S. A. M. Taujuddin, Rosziati Ibrahim, and Norhalina Senan
- Subjects
ComputingMethodologies_PATTERNRECOGNITION ,020205 medical informatics ,lcsh:TA1-2040 ,Data classification ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,02 engineering and technology ,Data mining ,computer.software_genre ,lcsh:Engineering (General). Civil engineering (General) ,computer ,Task (project management) - Abstract
This paper investigates the existing practices and prospects of medical data classification based on data mining techniques. It highlights major advanced classification approaches used to enhance classification accuracy. Past research has provided literature on medical data classification using data mining techniques. From extensive literature analysis, it is found that data mining techniques are very effective for the task of classification. This paper analysed comparatively the current advancement in the classification of medical data. The findings of the study showed that the existing classification of medical data can be improved further. Nonetheless, there should be more research to ascertain and lessen the ambiguities for classification to gain better precision.
- Published
- 2018