The heart model presumably did well with an accuracy score of 89% even though it was trained with a very little number of data. It can predict whether or not a person is prone to having a heart disease based on other independent clinical information. I am so happy to have worked on this data as a trainee in CodeSquad LLC I hope to continue as a medical student work on data like this and hopefully, one day be able to deploy some of these. Dataset gotten from kaggle
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This model with an accuracy score of 89% is created to be able to predict whether or not a person is prone to having a heart disease or not based on several important clinical information.
DereAbdulhameed/Heart-Disease-Prediction
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This model with an accuracy score of 89% is created to be able to predict whether or not a person is prone to having a heart disease or not based on several important clinical information.
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