Heart Disease Detection
Prediction for heart disease might be useful for the further research to prevent late treatment for people with symptom of heart disease.
Heart Disease is a sickness that are caused by a lot of factor and it is considered as one of the most deadly sickness in the world. Based on WHO research, it's ranked on the first as "The world’s biggest killer". It is because Ischaemic heart disease, responsible for 16% of the world’s total deaths. Since 2000, the largest increase in deaths has been for this disease, rising by more than 2 million to 8.9 million
deaths in 2019.
The goals are trying to predict a heart disease using machine learning, choosing the best models to predict heart disease, compare effectiveness of Gaussian Naive Bayes, Random Forest and Decision Tree and evaluate the model using ROC AUC
Interested in learning more? check out my github https://lnkd.in/g2xcakG