Heart Disease Prediction
نویسندگان
چکیده
منابع مشابه
the role of type-d personality, social support and self-compassion in prediction of health behaviors in coronary heart disease patients
نظر به اهمیت و تاثیر روزافزون عوامل روانی – اجتماعی در سلامت جسمی و تاثیر عوامل روان شناختی در بروز بیماریهای مختلف از جمله بیماریهای قلبی و عروقی این پژوهش با هدف کلی بررسی ارتباط تیپ شخصیتی d ، حمایت اجتماعی و خود دلسوزی در پیش بینی رفتارهای بهداشتی بیماران کرونر قلبی و تعیین تفاوت بین بیماران کرونر قلبی با و بدون جراحی و افراد سالم در این متغیرها و رفتارهای بهداشتی آنان، انجام گرفت. جامعه آ...
15 صفحه اولMultivariate Prediction of Coronary Heart Disease
The Western Collaborative Group Study (WCGS) is a prospective epidemiological study of 3,154 initially well men, aged 39-59 years at intake in 1960-61, who were employed in ten participating companies in California. Clinical coronary heart disease (CHD) occurred in 257 men during a follow-up period of eight and one-half years. Coronary heart disease risk is predicted using the additive multiple...
متن کاملPrediction of Heart Disease using Classification Algorithms
Data mining is an iterative progress in which evolution is defined by detection, through usual or manual methods. The discovered knowledge can be used for different applications for example healthcare industry. The heart disease accounts to be the leading cause of death worldwide. It is difficult for medical practitioners to predict the heart attack as it is complex task that requires experienc...
متن کاملHeart Disease Prediction Using Data Mining Techniques
There are huge amounts of data in the medical industry which is not processed properly and hence cannot be used effectively in making decisions. We can use data mining techniques to mine these patterns and relationships. This research has developed a prototype Heart Disease Prediction using data mining techniques, namely Neural Network, K-Means Clustering and Frequent Item Set Generation. Using...
متن کاملGenomic prediction of coronary heart disease
AIMS Genetics plays an important role in coronary heart disease (CHD) but the clinical utility of genomic risk scores (GRSs) relative to clinical risk scores, such as the Framingham Risk Score (FRS), is unclear. Our aim was to construct and externally validate a CHD GRS, in terms of lifetime CHD risk and relative to traditional clinical risk scores. METHODS AND RESULTS We generated a GRS of 4...
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ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i3.12.16494