Heart disease is one of the biggest causes of morbidity and mortality among the population of the world. Prediction of cardiovascular disease is regarded as one of the most important subjects in the section of clinical data analysis. The amount of data in the healthcare industry is huge. Data ...
HEART disease diagnosisRANDOM forest algorithmsCORONARY diseaseDECISION treesINTRODUCTION: Random Forests are an important model in machine learning. They are simple and very effective classification approach. The random forest identifies the most important features of a given problem...
Data Mining techniques can be used for disease prediction. In this research, the classification based data mining techniques are applied to healthcare data. This research focuses on the prediction of heart disease using three classification techniques namely Decision Trees, Naïve Bayes and K Nearest...
The present study examines the role of feature selection methods in optimizing machine learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with sixteen feature selection techniques in three categories of filter, wrapper,
Introduction of Heart Diseases 心脏病介绍 1 The heart is like any other muscle, requiring oxygen and nutrient-rich blood for it to function. The coronary arteries that supply blood to the heart muscle spread across the surface of...
Congenital heart disease, any abnormality of the heart that is present at birth. Cardiac abnormalities are generally caused by abnormal development of the heart and circulatory system before birth. Abnormal development can be caused by a variety of facto
coronary heart disease Table of Contents IntroductionReferences & Edit HistoryQuick Facts & Related Topics Quizzes Facts You Should Know: The Human Body Quiz A Visit with the Word Doctor: Medical Vocabulary Quiz Diseases, Disorders, and More: A Medical Quiz ...
BACKGROUND The objective of this study was to examine the association of Joint National Committee (JNC-V) blood pressure and National Cholesterol Education Program (NCEP) cholesterol categories with coronary heart disease (CHD) risk, to incorporate them into coronary prediction algorithms, and to comp...
Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules The development of medical domain applications has been one of the most active research areas recently. One example of a medical domain application is a de......
doi:10.1207/s15327558ijbm1201_3Kenneth E. FreedlandInt J Behav MedInternational Journal of Behavioral MedicineFreedland, K. E. (2005). Heart disease attributions: Introduction to the miniseries. International Journal of Behavioral Medicine, 12(1), 21-23....