Machine Learning in Period, Fertility and Ovulation Tracking Application.pdf (708.67 kB)
Machine Learning in Period, Fertility and Ovulation Tracking Application
preprint
posted on 2023-02-13, 17:05 authored by Tanmay ThakurTanmay Thakur, Saurabh Kadam, Nikita Patil, Chinmayee AchrekarMachine learning has the potential to improve the accuracy of period tracking applications by analyzing patterns in menstrual cycle data. The ability to predict the timing of menstrual cycles is important for women's health, and can be used to provide personalized reminders and notifications, as well as to better understand and manage menstrual cycles.
History
Email Address of Submitting Author
tanmayrc.thakur@gmail.comORCID of Submitting Author
0000-0002-7401-1453Submitting Author's Institution
Vasantdada Patil Prathisthan's College of Engineering and Visual ArtsSubmitting Author's Country
- India