Health Prognosis : Personalized AI Assistant

Health Prognosis : Personalized AI Assistant

Detecting a Disease Earlier and creating a Personalized Recommendations Based on the Disease detected

Published Mar 9, 2024


"Health Prognosis: Personalized AI Assistant" is an innovative application developed using Amazon Partyrock platform. It serves as a comprehensive health assessment tool, providing personalized recommendations and resources based on user-provided health parameters and location data.
Upon user input of essential health metrics such as age, blood pressure, blood cell count, serum creatinine, sodium, phosphorus, and others. It then generates a detailed diagnosis, identifying any potential diseases or health issues.
In addition to diagnosis, the application offers tailored recommendations to the user. These include medication suggestions, dietary guidelines, and lifestyle modifications to manage or prevent the identified health conditions effectively. Furthermore, the app assists users in locating nearby hospitals or healthcare facilities relevant to their needs, providing contact information for further assistance.

Community Impact

  1. Health Awareness: By providing comprehensive health assessments and educational resources, the app contributes to raising awareness about various health conditions within the community.
  2. Empowerment: The personalized recommendations empower users to take control of their health and make informed decisions, fostering a sense of empowerment and autonomy.
  3. Reduced Healthcare Costs: Early detection and preventive measures supported by the app can potentially reduce healthcare costs associated with treating advanced or chronic health conditions.
  4. Accessibility: The app democratizes access to healthcare information, making it accessible to individuals in remote areas or those who may not have easy access to healthcare professionals.
  5. Value: The app serves as an educational tool, helping users understand their health status and the importance of certain lifestyle changes and medications.
  • This helps the user detect the disease in Early stage and follow the procedures

Alternative Development Scenario with Amazon Bedrock

In the absence of Amazon Partyrock, "Health Prognosis: Personalized AI Assistant" would leverage Amazon Bedrock to build a robust application. This scenario focuses on architectural considerations, model selection, and integration of additional tools for functionality.
Architectural Considerations:
Utilizing a microservices architecture for modular development, scalability, and maintenance. Serverless computing with AWS Lambda for automatic scaling and efficient resource use. Event-Driven Architecture with Amazon EventBridge for real-time updates and responses. Ensuring HIPAA compliance with encryption and access controls for data privacy and security.
Model Selection:
Choosing classification models like decision trees for disease diagnosis. Employing NLP models such as BERT for processing textual inputs. Utilizing collaborative filtering algorithms for medication and lifestyle recommendations.
Integration of Additional Tools or Services:
Integration of Amazon Comprehend Medical for extracting structured medical information. Integration of Amazon Polly for text-to-speech conversion for voice-based interactions. Integration of Amazon Pinpoint for targeted push notifications. Integration of Amazon Connect for seamless integration with healthcare providers' call centers.


"Health Prognosis: Personalized AI Assistant" revolutionizes healthcare delivery by providing personalized recommendations and access to healthcare resources. Through its innovative approach, the app empowers users to proactively manage their health, early detection thereby contributing to improved health outcomes and community well-being.
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