Application of Data Mining Techniques for Medical Data Classification: A Review
Autor: | Saima Anwar Lashari, N. S. A. M. Taujuddin, Rosziati Ibrahim, Norhalina Senan |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
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) |
Zdroj: | MATEC Web of Conferences, Vol 150, p 06003 (2018) |
Popis: | 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. |
Databáze: | OpenAIRE |
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