Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health App: Virtual Tool Functionality Assessment.
Erika Marie RodriguezDaniel ThomasAnna DruetMarija Vlajic-WheelerKevin James LaneShruthi MahalingaiahPublished in: JMIR formative research (2020)
The first iteration of the feature outperformed the second and better predicted the probability of PCOS. Although further research is needed with a more robust sample size, this pilot study indicates the potential value for developing a screening tool to prompt high-risk subjects to seek evaluation by a medical professional.