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Heart_Disease_Predictor

Dataset Overview: CardioHealth Risk Assessment Dataset

General Information: Total Entries: 270

Total Columns: 14

Column Details:Age: Age of the patient

Sex: Gender of the patient (0 = Female, 1 = Male)

Chest pain type: Type of chest pain (values 1-4)

BP: Blood Pressure

Cholesterol: Cholesterol level

FBS over 120: Fasting blood sugar > 120 mg/dl (0 = False, 1 = True)

EKG results: Results of electrocardiographic test (values 0-2)

Max HR: Maximum heart rate achieved

Exercise angina: Exercise-induced angina (0 = No, 1 = Yes)

ST depression: ST depression induced by exercise relative to rest

Slope of ST: Slope of the peak exercise ST segment (values 1-3)

Number of vessels fluro: Number of major vessels colored by fluoroscopy (values 0-3)

Thallium: Thallium stress test result (values 3, 6, 7)

Heart Disease: Presence or absence of heart disease (Presence, Absence)

Cardio_health_Risk.ipynb

  • EDA
  • Data Visualization
  • Preprocessing
  • Model Training (Linear models)
  • Model HyperTunning
  • Saving the model

This notebook includes all the observations and analysis from Data Visualization and Model Training.

Streamlit App

For Model deployment.

Disclaimer

The Observations and analysis are generated from unverified source. The outcome of this model's predictions might not be correct.

The predictions made by this model are for informational purposes only and should not be considered as medical advice. Always consult a qualified medical professional for accurate diagnosis and treatment.