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Heart-Disease-Prediction

Project on Heart Disease Prediction in collaboration with SRM medical

Objective

To predict whether a patient is at risk for a heart attack. This is a binary outcome. Positive (+) = 1, patient is at risk Negative (-) = 0, patient is not at risk

Understanding the Dataset

age (#) sex : 1 = Male, 0 = Female (Binary) (cp) chest pain [type (4 values, Ordinal)]: 1: typical angina, 2: atypical angina, 3: non-anginal pain, 4: asymptomatic (trestbps) resting blood pressure (#) (chol) serum cholestoral in mg/dl (#) (fbs) fasting blood sugar > 120 mg/dl (Binary) [1 = true; 0 = false] (restecg) resting electrocardiographic results [values 0,1,2] (thalach) maximum heart rate achieved (#) (exang) exercise induced angina (Binary) [1 = yes; 0 = no] (oldpeak) = ST depression induced by exercise relative to rest (#) (slope) of the peak exercise ST segment (Ordinal) [ 1: upsloping, 2: flat , 3: downsloping) (ca) number of major vessels (0-3, Ordinal) colored by fluoroscopy (thal) maximum heart rate achieved (Ordinal) [3 = normal; 6 = fixed defect; 7 = reversable defect]

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Project on Heart Disease Prediction

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