Kathy Li

ORCID: 0000-0002-0777-7256 · 2 papers in corpus
2021
Journal of the American Medical Informatics Association : JAMIA ·doi:10.1093/jamia/ocab182

ObjectiveThe study sought to build predictive models of next menstrual cycle start date based on mobile health self-tracked cycle data. Because app users may skip tracking, disentangling physiological patterns of menstruation from tracking …

other 2020
NPJ digital medicine ·doi:10.1038/s41746-020-0269-8

The menstrual cycle is a key indicator of overall health for women of reproductive age. Previously, menstruation was primarily studied through survey results; however, as menstrual tracking mobile apps become more widely adopted, they provi…