Application of Data Mining Techniques for Medical Data Classification: A Review
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...
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2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201815006003 |
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doaj-4d14559e361b42c09086adced092f3fa2021-02-02T02:00:45ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011500600310.1051/matecconf/201815006003matecconf_mucet2018_06003Application of Data Mining Techniques for Medical Data Classification: A ReviewAnwar Lashari SaimaIbrahim RosziatiSenan NorhalinaTaujuddin N. S. A. M.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.https://doi.org/10.1051/matecconf/201815006003 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anwar Lashari Saima Ibrahim Rosziati Senan Norhalina Taujuddin N. S. A. M. |
spellingShingle |
Anwar Lashari Saima Ibrahim Rosziati Senan Norhalina Taujuddin N. S. A. M. Application of Data Mining Techniques for Medical Data Classification: A Review MATEC Web of Conferences |
author_facet |
Anwar Lashari Saima Ibrahim Rosziati Senan Norhalina Taujuddin N. S. A. M. |
author_sort |
Anwar Lashari Saima |
title |
Application of Data Mining Techniques for Medical Data Classification: A Review |
title_short |
Application of Data Mining Techniques for Medical Data Classification: A Review |
title_full |
Application of Data Mining Techniques for Medical Data Classification: A Review |
title_fullStr |
Application of Data Mining Techniques for Medical Data Classification: A Review |
title_full_unstemmed |
Application of Data Mining Techniques for Medical Data Classification: A Review |
title_sort |
application of data mining techniques for medical data classification: a review |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
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. |
url |
https://doi.org/10.1051/matecconf/201815006003 |
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1724310622899798016 |