PREDICTING THE RISK OF MYOCARDIAL INFARCTION USING DIFFERENT CLASSIFICATION ALGORITHMS
Journal Title: Acta HealthMedica - Year 2017, Vol 2, Issue 1
Abstract
Introduction: According to WHO, cardiovascular diseases (CVDs) are the leading cause of death globally. Although significant progress has been made in the diagnosis of CVDs, more investigation can be helpful. Considering the significant role of data mining techniques in discovering hidden trends in health data, the present study aimed to predict the risk of myocardial infarction (MI) using k-nearest neighbor (KNN), neural network, decision tree (C5), and Bayesian network algorithms. Methods: The present study is an analytical study. Considering CRISP methodology, data-mining analysis was carried out using KNN, neural network, C5, and Bayesian network algorithms by IBM SPSS modeler (Clementine 14.2) software. The applied data were related to 350 patients admitted to the Shahid Rajaei specialized cardiovascular hospital. However, after cleaning the data, only 274 records were entered in final analysis. Results: This study revealed that the highest percentages of correct classifications achieved were 67.42%, 64.04%, 60.67%, and 60.67% for the KNN, C5, neural network, and Bayesian network algorithms, respectively. The results also revealed that smoking was the leading risk factor for MI. Conclusion: In terms of accuracy, KNN was the most effective algorithm in predicting MI, followed by C5, neural network, and Bayesian network.
Authors and Affiliations
Fatemeh Rahimi, Mahdi Nasiri, Reza Safdari, Roxana Sharifian, Goli Arji, Zahra khanom Hashemi
Keywords
Related Articles
- EP ID EP351177
- DOI 10.19082/ah134
- Views 124
- Downloads 0
USE OF THE INTERNAL THORACIC ARTERY TO GRAFT AN ANOMALOUS LEFT MAIN CORONARY ARTERY FROM THE PULMONARY ARTERY IN A FIVE-YEAR-OLD GIRL
Introduction: Anomalous left coronary artery from the pulmonary artery (ALCAPA) is a rare congenital cardiac malformation in which the left coronary artery arises from the pulmonary artery. It usually presents during the...
GUIDELINES FOR A NATIONAL REGISTRY OF ACUTE CORONARY SYNDROME IN IRAN, BASED ON A COMPARATIVE STUDY IN SELECTED COUNTRIES
Introduction: Acute coronary syndrome (ACS) includes myocardial infarction (MI) with and without ST elevation and unstable angina (UA). This syndrome is a leading cause of morbidity and mortality in many countries. A reg...
DESIGN AND IMPLEMENTATION OF TABRIZ STROKE REGISTRY
Introduction: Stroke is a leading cause of mortality and disability worldwide; specifically, overwhelming in developing countries. Stroke registry is a beneficial infrastructure for clinical audits of stroke, as well as...
RELATIONSHIP AMONG PATHOPHYSIOLOGY OF GESTATIONAL DIABETES, PREECLAMPSIA, VITAMIN D LEVEL, AND IMMUNOMODULATION: A NARRATIVE REVIEW
Context: Preeclampsia is among the major causes of maternal, fetal, and neonatal morbidity and mortality, worldwide. It is characterized by an increase in blood pressure and proteinuria (Systolic BP≥140 or Diastolic BP≥9...
ESTABLISHMENT OF NATIONAL SPINAL CORD AND COLUMN INJURY REGISTRY OF IRAN (NSCIR-IR): A PROSPECTIVE QUALITY REGISTRY
Introduction: Spinal Cord Injury (SCI), a chronic and disabling condition, is often due to trauma. The annual incidence of SCI in the Iranian male and female population is an estimated 98.4 and 46.5 in 100,000, respectiv...