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  ---
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  title: Cardiovascular Risk Assessment
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- emoji: 🏆
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- colorFrom: yellow
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- colorTo: yellow
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  sdk: gradio
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- sdk_version: 6.11.0
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  app_file: app.py
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  pinned: false
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- license: mit
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- short_description: 10 Year cardiovascular risk prediction using ML trained
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  title: Cardiovascular Risk Assessment
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+ emoji: 🫀
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+ colorFrom: red
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+ colorTo: blue
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  sdk: gradio
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+ sdk_version: 5.12.0
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  app_file: app.py
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  pinned: false
 
 
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  ---
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+ ## Features
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+ - Predicts cardiovascular risk category: Low, Borderline, Intermediate, or High
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+ - Uses real NHANES clinical survey data (128,000+ participants)
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+ - Trained with Logistic Regression achieving 91% accuracy and 88% macro F1
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+ - Clinical-style inputs matching real medical assessments
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+
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+ ## Risk Categories (ACC/AHA Standard)
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+ - **Low:** <5% risk
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+ - **Borderline:** 5% to <7.5% risk
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+ - **Intermediate:** 7.5% to <20% risk
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+ - **High:** ≥20% risk
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+
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+ ## ⚠ Important Disclaimer
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+ This application is an educational and demonstration project only. It is NOT a certified medical device, diagnostic tool, or a substitute for professional medical advice, diagnosis, or treatment. The developer assumes NO RESPONSIBILITY OR LIABILITY for any decisions, actions, or health outcomes based on the results provided by this tool. Always consult a qualified healthcare professional for actual cardiovascular risk assessment and medical guidance.