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Sarah0022/
heart-disease-model

Name: heart-disease-model
Availability: InStock

heart disease prediction

machine learning

healthcare

mit

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Heart Disease Prediction Model 🫀

📌 Model Overview

This model uses Logistic Regression to predict the risk of heart disease based on various health-related features.

📊 Training Data

The model was trained on a dataset containing patient health attributes, including:

Age
Cholesterol Level
Blood Pressure
Body Mass Index (BMI)

🚀 How to Use the Model

You can download and use the model in Python as follows:

python

from huggingface_hub import hf_hub_download
import joblib

# Download the model
model_path = hf_hub_download(repo_id="Sarah0022/heart-disease-model", filename="heart_disease_model.pkl")

# Load the model using joblib
model = joblib.load(model_path)