Classification And Comparison Of Hepatitis-C Using Data Mining Technique
The major focus in this paper is to get the factors that shows the significance in predicting the risks of virus of hepatitis-C. 2 datasets were used for this purpose the first one is gathered from UCI Repository and the second one is taken from Zahid Medical Centre with the help of Dr. Abdul Fateh...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2017-07-01
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| Series: | JISR on Computing |
| Subjects: | |
| Online Access: | https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/95 |
| _version_ | 1797742134754803712 |
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| author | Saddam Hussain Malik Husnain Mansoor Ali |
| author_facet | Saddam Hussain Malik Husnain Mansoor Ali |
| author_sort | Saddam Hussain Malik |
| collection | DOAJ |
| description |
The major focus in this paper is to get the factors that shows the significance in predicting the risks of virus of hepatitis-C. 2 datasets were used for this purpose the first one is gathered from UCI Repository and the second one is taken from Zahid Medical Centre with the help of Dr. Abdul Fateh. There are nineteen features and a class feature with classification in binary. The first data set that is gathered from UCI repository contains 155 records with missing values in most of them in order to reduce this technique of normalization is applied. Now for qualitative approaches for data reduction as well as quantitative the binary logistic regression is used. The first result gathered from the Zahid Medical Centre gave us 58% accuracy result using these techniques. And second result using these procedures produced about 90% accurate classification. Our approach gives good classification rate only by using total 37% fields.
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| first_indexed | 2024-03-12T14:36:36Z |
| format | Article |
| id | doaj.art-d3ea4904d0a242409dec4a142d4fbc0a |
| institution | Directory Open Access Journal |
| issn | 2412-0448 1998-4154 |
| language | English |
| last_indexed | 2024-03-12T14:36:36Z |
| publishDate | 2017-07-01 |
| publisher | Shaheed Zulfikar Ali Bhutto Institute of Science and Technology |
| record_format | Article |
| series | JISR on Computing |
| spelling | doaj.art-d3ea4904d0a242409dec4a142d4fbc0a2023-08-17T06:45:16ZengShaheed Zulfikar Ali Bhutto Institute of Science and TechnologyJISR on Computing2412-04481998-41542017-07-0115110.31645/jisrc/(2017).15.1.02Classification And Comparison Of Hepatitis-C Using Data Mining TechniqueSaddam Hussain Malik0Husnain Mansoor Ali1Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi PakistanShaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi Pakistan The major focus in this paper is to get the factors that shows the significance in predicting the risks of virus of hepatitis-C. 2 datasets were used for this purpose the first one is gathered from UCI Repository and the second one is taken from Zahid Medical Centre with the help of Dr. Abdul Fateh. There are nineteen features and a class feature with classification in binary. The first data set that is gathered from UCI repository contains 155 records with missing values in most of them in order to reduce this technique of normalization is applied. Now for qualitative approaches for data reduction as well as quantitative the binary logistic regression is used. The first result gathered from the Zahid Medical Centre gave us 58% accuracy result using these techniques. And second result using these procedures produced about 90% accurate classification. Our approach gives good classification rate only by using total 37% fields. https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/95Data MiningRegression |
| spellingShingle | Saddam Hussain Malik Husnain Mansoor Ali Classification And Comparison Of Hepatitis-C Using Data Mining Technique JISR on Computing Data Mining Regression |
| title | Classification And Comparison Of Hepatitis-C Using Data Mining Technique |
| title_full | Classification And Comparison Of Hepatitis-C Using Data Mining Technique |
| title_fullStr | Classification And Comparison Of Hepatitis-C Using Data Mining Technique |
| title_full_unstemmed | Classification And Comparison Of Hepatitis-C Using Data Mining Technique |
| title_short | Classification And Comparison Of Hepatitis-C Using Data Mining Technique |
| title_sort | classification and comparison of hepatitis c using data mining technique |
| topic | Data Mining Regression |
| url | https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/95 |
| work_keys_str_mv | AT saddamhussainmalik classificationandcomparisonofhepatitiscusingdataminingtechnique AT husnainmansoorali classificationandcomparisonofhepatitiscusingdataminingtechnique |