What kind of "analysis" is done on the data ? We have apps like mensinator that are very simple.
I'd like to know if it is different from these simple apps ?
Note: im a guy btw
Do you mean for menstrual data specifically?
Currently for general data there is pearson correlation, five different anomaly detection algorithms, and T tests for significance among other things.
The work in progress we have for menstrual tracking takes temperature, flow, and past grund truth data into account. I know that’s vague, and it’s because my partner is working on it, not me :)
When we release the cycle tracking we’ll have a full writeup