Sounds like you have paroxysmal AF. I can't tell you much about any direct benefits ML could provide there.
I do work on data from persistent AF patients. Specifically, trying to predict AF recurrence after treatment with electrical cardioversion. Basically, electrical cardioversion is an effective treatment for some subset of persistent patients, but for another subset it is not. Doctors have a hard time deciding which patients can benefit from electrical cardioversion and which will not. If we can build a model that predicts this, we can avoid unnecessary procedures (which always carry some risk) and explore other treatment options instead. If this works well, it would directly benefit individuals.
I do work on data from persistent AF patients. Specifically, trying to predict AF recurrence after treatment with electrical cardioversion. Basically, electrical cardioversion is an effective treatment for some subset of persistent patients, but for another subset it is not. Doctors have a hard time deciding which patients can benefit from electrical cardioversion and which will not. If we can build a model that predicts this, we can avoid unnecessary procedures (which always carry some risk) and explore other treatment options instead. If this works well, it would directly benefit individuals.