A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction
This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC). Three models: Multiple Linear Regression (MLR), MLRC and hybrid MLRC with SVM model were compared to get the best mode...
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| Format: | Article |
| Language: | en |
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SAI Organization
2019
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| Online Access: | http://eprints.uthm.edu.my/2296/1/AJ%202019%20%289%29.pdf http://eprints.uthm.edu.my/2296/ http://dx.doi.org/10.14569/IJACSA.2019.0100439 |
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| _version_ | 1833417030177390592 |
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| author | Shafi, Muhammad Ammar Rusiman, Mohd Saifullah Ismail, Shuhaida Kamardan, Muhamad Ghazali |
| author_facet | Shafi, Muhammad Ammar Rusiman, Mohd Saifullah Ismail, Shuhaida Kamardan, Muhamad Ghazali |
| author_sort | Shafi, Muhammad Ammar |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC). Three models: Multiple Linear Regression (MLR), MLRC and hybrid MLRC with SVM model were compared to get the best model in predicting tumor size of colorectal cancer using two measurement statistical errors. The proposed model of hybrid MLRC with SVM have found two significant clusters whereby, each clusters contained 15 and three significant variables for cluster 1 and 2, respectively. The experiments found that the proposed model tend to be the best model with least value of Mean Square Error (MSE) and Root Mean Square Error (RMSE). This finding has shed light to health practitioner in determining the factors that contribute to colorectal cancer. |
| format | Article |
| id | my.uthm.eprints-2296 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2019 |
| publisher | SAI Organization |
| record_format | eprints |
| spelling | my.uthm.eprints-22962021-10-18T08:04:28Z http://eprints.uthm.edu.my/2296/ A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction Shafi, Muhammad Ammar Rusiman, Mohd Saifullah Ismail, Shuhaida Kamardan, Muhamad Ghazali QA273-280 Probabilities. Mathematical statistics This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC). Three models: Multiple Linear Regression (MLR), MLRC and hybrid MLRC with SVM model were compared to get the best model in predicting tumor size of colorectal cancer using two measurement statistical errors. The proposed model of hybrid MLRC with SVM have found two significant clusters whereby, each clusters contained 15 and three significant variables for cluster 1 and 2, respectively. The experiments found that the proposed model tend to be the best model with least value of Mean Square Error (MSE) and Root Mean Square Error (RMSE). This finding has shed light to health practitioner in determining the factors that contribute to colorectal cancer. SAI Organization 2019 Article PeerReviewed text en http://eprints.uthm.edu.my/2296/1/AJ%202019%20%289%29.pdf Shafi, Muhammad Ammar and Rusiman, Mohd Saifullah and Ismail, Shuhaida and Kamardan, Muhamad Ghazali (2019) A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction. International Journal of Advanced Computer Science and Applications, 10 (4). pp. 323-328. ISSN 2158-107X http://dx.doi.org/10.14569/IJACSA.2019.0100439 |
| spellingShingle | QA273-280 Probabilities. Mathematical statistics Shafi, Muhammad Ammar Rusiman, Mohd Saifullah Ismail, Shuhaida Kamardan, Muhamad Ghazali A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
| title | A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
| title_full | A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
| title_fullStr | A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
| title_full_unstemmed | A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
| title_short | A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
| title_sort | hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction |
| topic | QA273-280 Probabilities. Mathematical statistics |
| url | http://eprints.uthm.edu.my/2296/1/AJ%202019%20%289%29.pdf http://eprints.uthm.edu.my/2296/ http://dx.doi.org/10.14569/IJACSA.2019.0100439 |
| url_provider | http://eprints.uthm.edu.my/ |