Heart Disease Prediction Using DifferentTechniques
Predicting probability of heart disease in patients.
@kaggle.jillanisofttech_heart_disease_prediction_using_differe_3e2ca1a7
Predicting probability of heart disease in patients.
@kaggle.jillanisofttech_heart_disease_prediction_using_differe_3e2ca1a7
Context:
The leading cause of death in the developed world is heart disease. Therefore there needs to be work done to help prevent the risks of having a heart attack or stroke.
Content:
Use this dataset to predict which patients are most likely to suffer from heart disease in the near future using the features given.
Acknowledgment:
This data comes from the UCI at https://archive.ics.uci.edu/ml/datasets/Heart+Disease.
CREATE TABLE heart (
"age" BIGINT,
"sex" BIGINT,
"cp" BIGINT,
"trestbps" BIGINT,
"chol" BIGINT,
"fbs" BIGINT,
"restecg" BIGINT,
"thalach" BIGINT,
"exang" BIGINT,
"oldpeak" DOUBLE,
"slope" BIGINT,
"ca" BIGINT,
"thal" BIGINT,
"target" BIGINT
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