A lot of Quantified Self tools provide data. It would be great to have a tool that pulls data from QS sources like the Oura API, Beeminder, Fitbit, Google Fit and Apple Healthvault and allows me to make prediction based on the data.
It would be really great if I could make predictions about how last night went before looking at my Oura stats.
One way would be to start every morning by giving a 80% confidence interval for the amount of total sleep, the amount of deep sleep, average nighttime HRV and lowest heart rate in the last night.
For training calibration I would expect it to be very useful to make live-prediction on variables that your own gadgets can measure.
I would only enjoy making predictions about the future. Confidence intervals about my weight in 30 days and various other health metrics would be interesting as well.
A lot of Quantified Self tools provide data. It would be great to have a tool that pulls data from QS sources like the Oura API, Beeminder, Fitbit, Google Fit and Apple Healthvault and allows me to make prediction based on the data.
It would be really great if I could make predictions about how last night went before looking at my Oura stats.
I think I’ll be quite doable, but take some infrastructural work of course. Could you be a bit more specific about the predictions you want to make?
One way would be to start every morning by giving a 80% confidence interval for the amount of total sleep, the amount of deep sleep, average nighttime HRV and lowest heart rate in the last night.
For training calibration I would expect it to be very useful to make live-prediction on variables that your own gadgets can measure.
I would only enjoy making predictions about the future. Confidence intervals about my weight in 30 days and various other health metrics would be interesting as well.
Interesting, that makes sense, thanks for the examples.