Open ubaid2751 opened 2 months ago
@ubaid2751 assigned!
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.
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.