Heart Attack Classification and Analysis

This analysis utilizes Logistic Regression to predict heart attacks 🩺❤ and examine significant factors related to heart health. The model is able to predict heart attacks with an overall accuracy of 85%, trained on around 240 heart attack cases.

Key Metrics Summary:

• Overall Accuracy: 85%
• Precision (Heart Disease): 0.871
• Recall (Heart Disease): 0.844
• F1-Score (Heart Disease): 0.857 (1.0 is max and 100% accuracy, 0 is min)

Chest pain, number of major vessels, and Sex: Highest impact on Heart Attacks.

Receiver Operating Characteristic (ROC) curve

• AUC-ROC score quantifies the overall ability of the model to distinguish between classes:

  • AUC = 1.0: Perfect classifier. This model has an absolute difference of 0.07.
  • AUC = 0.5: No discrimination (random guessing).
  • AUC < 0.5: Worse than random guessing (the model is likely reversed in its predictions).

• True Positive Rate (TPR): Also known as sensitivity or recall, it measures the proportion of actual positives correctly predicted by the model.

  • TPR = True Positives (TP) / (True Positives (TP) + False Negatives (FN))

• False Positive Rate (FPR): It measures the proportion of actual negatives incorrectly predicted as positive.

  • FPR = False Positives (FP) / (False Positives (FP) + True Negatives (TN))

• The ROC curve plots TPR on the y-axis against FPR on the x-axis at various threshold values of the classification model.

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This data is synthetic and should not be used for medical research; the purpose of this project is to study classification using logistic regression.

Source: https://www.kaggle.com/datasets/rashikrahmanpritom/heart-attack-analysis-prediction-dataset/data

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More about the data

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• Age: Age of the patient
• Sex: Sex of the patient
• exang: Exercise induced angina (1 = yes; 0 = no)
• ca: Number of major vessels (0-3)
• cp: Chest Pain type
  • Value 1: Typical angina
  • Value 2: Atypical angina
  • Value 3: Non-anginal pain
  • Value 4: Asymptomatic
• trtbps: Resting blood pressure (in mm Hg)
• chol: Cholesterol in mg/dl fetched via BMI sensor
• fbs: Fasting blood sugar > 120 mg/dl (1 = true; 0 = false)
• rest_ecg: Resting electrocardiographic results
  • Value 0: Normal
  • Value 1: Having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV)
  • Value 2: Showing probable or definite left ventricular hypertrophy by Estes' criteria
• thalach: Maximum heart rate achieved
• target: 0 = less chance of heart attack; 1 = more chance of heart attack