Final year project (Heart disease prediction using machine learning techniques) hallp.herokuapp.com Topics flask machine-learning naive-bayes linear-regression prediction expert-system heart-disease Resources Readme Activity Stars 11 stars Watchers 3 watching Forks 0 forks Report repository ...
Welcome to theHeart Disease PredictionGitHub repository! This project is designed to help beginners learn the fundamentals of machine learning in a hands-on and interactive way. Whether you're completely new to machine learning or looking to refresh your knowledge, this repository has something for ...
This article describes a project funded by the Health Education Authority (HEA) to address heart disease prevention on a housing estate whose residents had an identified high risk. We describe the main lessons we learnt, focusing on the factors we perceive to be keys to success: the community ...
Changes in perceived heart disease risk and health during a community-... To test whether the cardiovascular disease declines in North Karelia were accompanied by subjective improvements in health, we analyzed responses to two qu... TE Kottke,P Puska,JT Salonen,......
Conclusions The present study is the first to address the awareness of cardiovascular health and disease among Chinese Canadians. These data suggest that Chinese Canadians have a relatively low awareness of the warning symptoms for common cardiovascular emergency situations. The findings presented here ...
The project was launched in Suzhou, Jiangsu province, on the third anniversary of the association, of which the center is a part. Two main challenges in the clinical treatment of the disease lie in patients' low compliance with doctors' orders after discharge from the hospital, which results ...
Ty Sovanna, administration chief of Bateay district health bureau, said the project is very important to save the lives of children with open-heart disease. "It contributes to reducing poverty, and improves children's health, so they will become good human resources for the nation when they ...
Population-attributable risk of coronary heart disease risk factors during long-term follow-up: the Malmö Preventive Project Abstract.Aims. To calculate the population-attributable risk (PAR) of coronary events (CE) from 10 risk factors, during long-term follow-up. PM Nilsson,JÅ Nilsson,...
A heart disease identification model deploying algorithms of univariate and relief feature selection alongside a decision tree for classification achieves an accuracy of 92.8% [24]. A coronary artery disease prediction model with a neuro-fuzzy medical decision support system is presented. This system ...
ki_project_heart_disease auto_awesome_motion View Active Events Veyga·6y ago· 434 views arrow_drop_up1 Copy & Edit17 more_vert NotebookInputOutputLogsComments (0) Input Data Input folder Data Sources [Dataset no longer available]