Heart Disease Prediction And Analysis By Machine Learning
The Project Goal is to research on how we are using machine learning techniques for heart disease prediction and analysis depends on various factors provided by the dataset.
Mission of the project
The Project Mission is to research about the heart disease prediction and analysis by machine learning techniques where it was widely used in every sector including health care sector also. As our main goal of the research is how to analyze the data that depends and varies on each patient where doctor can find easy ways to predict if all things went well . So if the prediction goes well among the patients and situation can be handled easily by the doctors and lot of people can be warned and provided related care for specific heart disease in this project we have taken an example data set from kaggle website where we have seen some example of classification report and its base models and related to this our research is to find the future goals of machine learning usage in heart disease prediction and analysis for this we are going to see some use cases which are upcoming for future.
Capstone presentation below explained
Targets And Efforts
Effort 1
The Effort is to research on analysis of the data and then on different models of machine learning models.
Effort 2
The second goal is to research on specific example how we can apply different models of machine learning on heart disease and prediction by example data set.
Effort 3
The third goal is to research on different models of machine learning by example and by conducting comparison and choosing the best fit model for heart disease prediction.
Effort 4
The fourth goal is to put effort on researching new models in future for machine learning in prediction of heart disease and provide conclusion for the best of our research paper.