As a Type 1 Diabetes patient I want to understand my "full health and activity picture" since it will help me manage my day to day disease with the help of an integrated data picture combining existing data streams (Continuous Glucose Monitor, Diet, Activity, Sleep, Weather, Mood...)
I want to understand my "full health and activity picture" since it will help me manage my day to day disease better. I already have my glucose data coming from my CGM . But I want to understand what else is happening and is there a correlation to what I eat, what activities I do , the weather, my mood and so on with my glucose level. The idea is to capture all these disparate data points automatically / passively together in a dairy so I can view a full picture in my dairy. Points of information: readings from my CGM; what I ate (scan the food labels perhaps for auto entry and sugar calculation?); my activity / steps ; time of day; weather.
4 -Measuring Causal Factors
Team Composition would benefit from
ML, human factors, DB, UX / ; Type 1 diabetes expert, web / mobile app, Data science.
https://developers.glooko.com/docs/statistics/cgmhttps://developer.dexcom.com/overviewhttps://stackoverflow.com/questions/3117645/how-to-get-food-product-data-from-barcodehttps://clipdrop.co/https://scholarcommons.scu.edu/cgi/viewcontent.cgi?article=1041&context=cseng_seniorhttps://www.barcodelookup.com/https://siftfoodlabels.com/https://openweathermap.org/Strava API: https://developers.strava.com/https://developer.garmin.com/
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