HeartdiseasesalsocalledCardiovascularDiseases(CVD)includerangeofconditionsportrayingillnessofheart.Theseincludediseasesrelatedtobloodvessels,rhythmproblem,chestpain,heartattack,strokes,andfluctuatingbloodpressure.PersonsufferingwithCVDhasfluctuatingbloodflowrate.CVDaretheleadingcauseofmortalityinIndiaincludingbothmaleandfemale.Aquarterofallmortalityisattributedtocardiovasculardiseases.Heartdiseasesandstrokesarethepredominantcausesandareresponsiblefor>80%ofCVDdeaths.Thereforeinthispaperamachinelearningmodelisimplementedonthedatasetdownloadedfromkaggle.Thisdatasetcontainsvariousparameterscontributingtocardiacmorbidity.Itcontains70000recordsandcontainsparameterslikeage,cholesterol,glucose,smoking,alcoholichabitetc.ThedecisionTreemodelisusedfottrainingandpredictingtherisk ofheart disease.Theaccuracyof implemented model is 73%.
Volume 11 | Issue 7
Pages: 1030-1037