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Cardiovascular Risk Prediction Model #59

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ubaid2751 opened this issue May 14, 2024 · 2 comments
Open

Cardiovascular Risk Prediction Model #59

ubaid2751 opened this issue May 14, 2024 · 2 comments
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gssoc Associated with GSSOC level1

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@ubaid2751
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Is your feature request related to a problem? Please describe.
Improve platform's health assessment with a Cardiovascular Risk Prediction Model due to lacking specific tools for assessing users' cardiovascular disease risk, a major global mortality factor.

Describe the solution you'd like
Integrate a Cardiovascular Risk Prediction Model considering age, gender, medical history (hypertension, diabetes), lifestyle (smoking, physical activity), and Biometrics (Body Mass Index, blood pressure) to estimate risk over time. This model will help determine more disease than only heart disease, like strokes and several other.

Describe alternatives you've considered
Integrating a custom Cardiovascular Risk Prediction Model tailored to our platform's user base and data would provide more accurate and personalized risk assessments.

Additional context
Adding this model can help us as it aligns with our goal. This will enhance the overall value of our model.

@TAHIR0110
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@ubaid2751 assigned!

@NadaRamadan
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can you please assign me to this issue?
Proposed Solution:
Integrate a comprehensive model that considers:

Demographics: Age, Gender
Medical History: Hypertension, Diabetes
Lifestyle: Smoking, Physical Activity
Biometrics: BMI, Blood Pressure
Steps:

Collect and validate user data.
Customize and implement an existing risk model.
Develop the algorithm using machine learning.
Design a user-friendly interface for data input and risk feedback.
Test and iterate based on user feedback.

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3 participants