Prediction of the fertile window and menstruation with a wearable device via machine-learning algorithms

2025/01/07 by Chuan Luo, Yun-Fei Su, Yun-Yun Ren +12 · 1 voice
Medicine · #Menstrual Health and Disorders #Ovarian function and disorders #Uterine Myomas and Treatments

paper · doi:10.1016/j.rbmo.2025.104795

openalex publication_date 2025/01/07 · crossref created 2025/01/07 · openalex created_date 2025/01/08 · crossref issued 2025/07/01 · crossref published 2025/07/01 · crossref published-print 2025/07/01 · crossref deposited 2025/11/07 · crossref indexed 2026/04/23 · openalex updated_date 2026/08/01

Citations

• Optimizing natural fertility: a committee opinion
• Consumer wearables and personal devices for tracking the fertile window

Discussions

• In this paper, fertile window and menstruation day are effectively predicted by a machine-learning algorithm based on wrist skin temperature and heart rate data collected from a wearable bracelet. ht [bsky, 0 points, 0 comments]