Event Website
https://sites.google.com/view/heartdiseasepredictionteam3a/home
Document Type
Event
Start Date
1-12-2022 5:00 PM
Description
The heart is the most crucial part of the Human body. The organ circulates blood out of the circulatory system’s blood vessels. Any disease or failure of this organ causes death. Heart disease is one of the primary sources of death in the cutting-edge world. There are 2,380 deaths from heart disease each day, based on 2018 data. Also, heart disease causes the highest number of deaths globally, with approximately 18 million people dying yearly, meaning around 31This prediction can be made using Machine Learning techniques. With machine learning. Combining a prediction model with machine learning correctly classified results for heart disease with classification Zero r, Grip (FURIA) classification, Decision tree J48, Classification MLP, MLR (multinomial logistic regression), Bagging, Boosting, stacking classification. J48 has the highest accuracy. As it is described that early detection of heart disease plays vital role in saving individuals life. considering the classification method in machine learning is chosen one for diagnosing heart disease and hence there are good outcomes that are came out. This research was based on 2020 survey conducted by CDC on BRFSS. based on these 8 different machine learning methods we have chosen.
Included in
GC-308 Heart Disease Prediction And Analysis By Machine Learning
The heart is the most crucial part of the Human body. The organ circulates blood out of the circulatory system’s blood vessels. Any disease or failure of this organ causes death. Heart disease is one of the primary sources of death in the cutting-edge world. There are 2,380 deaths from heart disease each day, based on 2018 data. Also, heart disease causes the highest number of deaths globally, with approximately 18 million people dying yearly, meaning around 31This prediction can be made using Machine Learning techniques. With machine learning. Combining a prediction model with machine learning correctly classified results for heart disease with classification Zero r, Grip (FURIA) classification, Decision tree J48, Classification MLP, MLR (multinomial logistic regression), Bagging, Boosting, stacking classification. J48 has the highest accuracy. As it is described that early detection of heart disease plays vital role in saving individuals life. considering the classification method in machine learning is chosen one for diagnosing heart disease and hence there are good outcomes that are came out. This research was based on 2020 survey conducted by CDC on BRFSS. based on these 8 different machine learning methods we have chosen.
https://digitalcommons.kennesaw.edu/cday/Fall_2022/Graduate_Capstone/6