Predicting pregnancy using large-scale data from a women's health tracking mobile application. - Bo Liu 042; Shuyang Shi; Yongshang Wu; Daniel Thomas; Laura Symul; Emma Pierson; Jure Leskovec (CoRR, 2018)

Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. - Bo Liu 042; Shuyang Shi; Yongshang Wu; Daniel Thomas; Laura Symul; Emma Pierson; Jure Leskovec (WWW, 2019)

Assessment of menstrual health status and evolution through mobile apps for fertility awareness. - Laura Symul; Katarzyna Wac; Paula Hillard; Marcel Salathé (npj Digit. Medicine, 2019)

As easy as APC: Leveraging self-supervised learning in the context of time series classification with varying levels of sparsity and severe class imbalance. - Fiorella Wever; T. Anderson Keller; Victor Garcia; Laura Symul (CoRR, 2021)

Labeling Self-Tracked Menstrual Health Records With Hidden Semi-Markov Models. - Laura Symul; Susan P. Holmes (IEEE J. Biomed. Health Informatics, 2022)