A predictive model for prediction of heart surgery procedure
Coronary heart disease (CHD) is a disease in which plague in the form of waxy substance builds up inside the coronary arteries. Coronary artery bypass grafting (CABG) is used as treatment on CHD patients but the role of CABG has been challenged by percutaneous coronary intervention (PCI) when it was...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/80448/ http://psasir.upm.edu.my/id/eprint/80448/1/HEART.pdf |
| _version_ | 1848858905774391296 |
|---|---|
| author | Mohd Ghani @ Mamat, Khairul Asri Md. Ghani, Nor Azura Mohd Yusof, Aufzalina Mohd Ghani, Khairul Izan |
| author_facet | Mohd Ghani @ Mamat, Khairul Asri Md. Ghani, Nor Azura Mohd Yusof, Aufzalina Mohd Ghani, Khairul Izan |
| author_sort | Mohd Ghani @ Mamat, Khairul Asri |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Coronary heart disease (CHD) is a disease in which plague in the form of waxy substance builds up inside the coronary arteries. Coronary artery bypass grafting (CABG) is used as treatment on CHD patients but the role of CABG has been challenged by percutaneous coronary intervention (PCI) when it was introduced in 1977. Drug eluting stents (DES) was introduced with the development of PCI. The purpose of this study was to find the potential risk factors that associated with the procedures (CABG and DES) and to model procedure (CABG vs DES) on coronary heart disease male patients aged 45 years old and below. The study sample was among male patients aged 45 years old and below who has undergone CABG or DES procedure at either IJN or HUKM from January 2007 until December 2010. Logistic regression was used to model treatment selection on coronary heart disease with 87.3% of the classification rate. Patient who i) smoke, ii) obese, or ii) had dyslipidemia was significantly associated with DES, and the other factors were prone to have CABG as their treatment. |
| first_indexed | 2025-11-15T12:20:53Z |
| format | Article |
| id | upm-80448 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:20:53Z |
| publishDate | 2019 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-804482020-11-09T15:20:05Z http://psasir.upm.edu.my/id/eprint/80448/ A predictive model for prediction of heart surgery procedure Mohd Ghani @ Mamat, Khairul Asri Md. Ghani, Nor Azura Mohd Yusof, Aufzalina Mohd Ghani, Khairul Izan Coronary heart disease (CHD) is a disease in which plague in the form of waxy substance builds up inside the coronary arteries. Coronary artery bypass grafting (CABG) is used as treatment on CHD patients but the role of CABG has been challenged by percutaneous coronary intervention (PCI) when it was introduced in 1977. Drug eluting stents (DES) was introduced with the development of PCI. The purpose of this study was to find the potential risk factors that associated with the procedures (CABG and DES) and to model procedure (CABG vs DES) on coronary heart disease male patients aged 45 years old and below. The study sample was among male patients aged 45 years old and below who has undergone CABG or DES procedure at either IJN or HUKM from January 2007 until December 2010. Logistic regression was used to model treatment selection on coronary heart disease with 87.3% of the classification rate. Patient who i) smoke, ii) obese, or ii) had dyslipidemia was significantly associated with DES, and the other factors were prone to have CABG as their treatment. Institute of Advanced Engineering and Science (IAES) 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/80448/1/HEART.pdf Mohd Ghani @ Mamat, Khairul Asri and Md. Ghani, Nor Azura and Mohd Yusof, Aufzalina and Mohd Ghani, Khairul Izan (2019) A predictive model for prediction of heart surgery procedure. Indonesian Journal of Electrical Engineering and Computer Science, 15 (3). pp. 1615-1620. ISSN 2502-4752 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/19874/12982 10.11591/ijeecs.v15.i3.pp1615-1620 |
| spellingShingle | Mohd Ghani @ Mamat, Khairul Asri Md. Ghani, Nor Azura Mohd Yusof, Aufzalina Mohd Ghani, Khairul Izan A predictive model for prediction of heart surgery procedure |
| title | A predictive model for prediction of heart surgery procedure |
| title_full | A predictive model for prediction of heart surgery procedure |
| title_fullStr | A predictive model for prediction of heart surgery procedure |
| title_full_unstemmed | A predictive model for prediction of heart surgery procedure |
| title_short | A predictive model for prediction of heart surgery procedure |
| title_sort | predictive model for prediction of heart surgery procedure |
| url | http://psasir.upm.edu.my/id/eprint/80448/ http://psasir.upm.edu.my/id/eprint/80448/ http://psasir.upm.edu.my/id/eprint/80448/ http://psasir.upm.edu.my/id/eprint/80448/1/HEART.pdf |