Closed KenjiPcx closed 1 year ago
Azure Machine Learning (ML) can be used to fine-tune the predicted glucose levels for individual users and retrain the model periodically with user data. This can help improve the accuracy of the predictions and make the insulin delivery plan more personalized and effective.
In addition, Azure Computer Vision can be used to identify the types of carbohydrates in food pictures, which can be useful for carb planning. Azure Database can be used to store commonly used recipes, and Azure Bots can be used to interact with the app and provide summaries and other information to users.
Azure Maps can also be integrated into the app to remind users to record their carbohydrate intake and provide other helpful reminders, such as when they are in a gym or other location where they may be more likely to need to manage their diabetes.
Finally, an Azure IoT interface can be added to connect the app to continuous glucose monitors and insulin pumps, allowing for even more accurate and personalized management of diabetes.
@lahybris Can we give some more context to this document, for example, include some details about what this page is for
Here are some of the solutions we identified in month 2
The explaination
etc
Important : This is a deliverable for the project Create a markdown file and include the solution ideas we have with Azure for diabetics management apps
Create a file with the name "Solution Identification.md"
Things to include