Heart Diseases Prediction Using Machine Learning Algorithms
E. Anupriya, Manyam Thaile, P. Chinnasamy, M Laxmi Narayana
Abstract
Even in older people and those who lead unhealthy lifestyles, heart disease may be a common problem that can be quite serious. This project’s primary goal is to take action and decrease the prevalence of middle diseases in patients. Age, sex, sign, number of cigarettes smoked per day, and other medical data are used as inputs, and these features are then modelled for prediction. Abstract One of the most challenging issues in the medical industry today is the prognosis of heart condition. According to current fashion, one person develops heart disease every four people. An enormous amount of data is processed in the healthcare industry with the help of machine learning.
Topics & Concepts
Machine learningHeart diseaseArtificial intelligenceSign (mathematics)Computer scienceDiseaseAction (physics)AlgorithmHealthcare industryHealth careMedicineMathematicsCardiologyInternal medicineEconomicsEconomic growthQuantum mechanicsMathematical analysisPhysicsArtificial Intelligence in HealthcareECG Monitoring and AnalysisMachine Learning in Healthcare