The performance of a fertility tracking device.

Niels van de Roemer Liya T HaileMartin C Koch

Published in: The European journal of contraception & reproductive health care : the official journal of the European Society of Contraception (2021)

Overall, these results showed that the fertility tracker algorithm was able to distinguish biphasic cycles and provide personalised fertility statuses for users based on daily basal body temperature readings and menstruation data. We identified a direct linear relationship between the number of measurements and output of the fertility tracker.

Keyphrases

childhood cancer
machine learning
physical activity
deep learning
electronic health record
young adults
big data
neural network