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This web application is designed to help users predict the likelihood of developing certain diseases based on their input features. Using trained and tested machine learning models, we provide predictions for diabetes, heart disease, and lung cancer in their early stages.

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Use Cases Limitations Evidence Owner's Insight
  1. Routine Health Check: An individual uses the app to check their risk for diabetes by entering their blood sugar levels and other relevant details, receiving a risk assessment to help decide whether to seek further medical advice.

  2. Health Monitoring for Smokers: A smoker uses the app to check their risk for lung cancer by inputting their smoking history and respiratory symptoms, receiving a risk prediction that prompts them to consider a medical check-up.

  3. Pre-Screening at Clinics: A clinic uses the app to pre-screen patients for heart disease, with patients entering their symptoms and health metrics before consultations, helping prioritize patients based on their risk levels.

  4. Educational Workshops: A health educator uses the app during a workshop, showing participants how to input their data and understand their disease risks, leading to increased health awareness and proactive health management.

  5. Remote Health Monitoring: A remote health service monitors elderly patients using the app, with patients or caregivers entering health data regularly, allowing for early detection of health issues and timely medical intervention.

  6. Family Health Checks: A family member checks the risk of heart disease for their elderly parent by entering the parent's health information and symptoms, receiving a risk level that guides them to seek further medical advice if needed.

This Web App may not provide accurate predictions at all times. When in doubt, please enter the values again and verify the predictions.

  1. It is important to note that individuals with specific risk factors or concerns should consult with healthcare professionals for personalized advice and management.
  2. You are requested to provide your Name and Email for sending details about your test results. Rest assured, your information is safe and will be kept confidential.

Warning: Not intended for clinical use. Assume outputs are unsafe and unvalidated. Use carefully.

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  • Clinical Informatics


A Akshay Ravella

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