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hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm
journal contribution
posted on 2023-06-09, 05:36 authored by Maryam Tayefi, Mohammad Tajfard, Sara Saffar, Parichehr Hanachi, Ali Reza Amirabadizadeh, Habibollah Esmaeily, Ali Taghipour, Gordon FernsGordon Ferns, Mohsen Moohebati, Majid Ghayour-MobarhanBACKGROUND AND AIMS: Coronary heart disease (CHD) is an important public health problem globally. Algorithms incorporating the assessment of clinical biomarkers together with several established traditional risk factors can help clinicians to predict CHD and support clinical decision making with respect to interventions. Decision tree (DT) is a data mining model for extracting hidden knowledge from large databases. We aimed to establish a predictive model for coronary heart disease using a decision tree algorithm. METHODS: Here we used a dataset of 2346 individuals including 1159 healthy participants and 1187 participant who had undergone coronary angiography (405 participants with negative angiography and 782 participants with positive angiography). We entered 10 variables of a total 12 variables into the DT algorithm (including age, sex, FBG, TG, hs-CRP, TC, HDL, LDL, SBP and DBP). RESULTS: Our model could identify the associated risk factors of CHD with sensitivity, specificity, accuracy of 96%, 87%, 94% and respectively. Serum hs-CRP levels was at top of the tree in our model, following by FBG, gender and age. CONCLUSION: Our model appears to be an accurate, specific and sensitive model for identifying the presence of CHD, but will require validation in prospective studies.
History
Publication status
- Published
File Version
- Accepted version
Journal
Computer Methods and Programs in BiomedicineISSN
0169-2607Publisher
ElsevierExternal DOI
Volume
141Page range
105-109Department affiliated with
- Division of Medical Education Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-04-02First Open Access (FOA) Date
2018-04-04First Compliant Deposit (FCD) Date
2017-03-31Usage metrics
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