Predicting pregnancy using large-scale data from a women's health tracking mobile application-Reference-Cited by-同舟云学术

Predicting pregnancy using large-scale data from a women's health tracking mobile application

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
language:
Short-container-title:

Author:

Liu Bo¹,Shi Shuyang¹,Wu Yongshang¹,Thomas Daniel²,Symul Laura³,Pierson Emma¹,Leskovec Jure⁴

Affiliation:

1. Dept. of Computer Science, Stanford

2. Clue by BioWink GmbH, Berlin

3. Dept. of General Surgery and Dept. of Statistics, Stanford

4. Dept. of Computer Science, Stanford and Chan-Zuckerberg Biohub

Publisher

ACM Press

Reference52 articles.

1. 2017. Glow and National Institutes of Health Collaborate to Advance Fertility Model. PR Newswire (2017).

2. Alexandra Alvergne, Marija Vlajic Wheeler, and Vedrana Högqvist Tabor. 2018. Do sexually transmitted infections exacerbate negative premenstrual symptoms? Insights from digital health. Evolution, Medicine, and Public Health(2018).

3. John C Barrett and John Marshall. 1969. The risk of conception on different days of the menstrual cycle. Population Studies 23, 3 (1969), 455-461.

4. Inci M Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K Jain, and Jiayu Zhou. 2017. Patient subtyping via time-aware LSTM networks. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 65-74.

5. Jamie L Bigelow, David B Dunson, Joseph B Stanford, Rene´ Ecochard, Christian Gnoth, and Bernardo Colombo. 2004. Mucus observations in the fertile window: a better predictor of conception than timing of intercourse. Human Reproduction 19, 4 (2004), 889-892.

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The association of COVID-19 vaccination and menstrual health: A period-tracking app-based cohort study;Vaccine: X;2024-08

2. Time to pregnancy recognition among users of an FDA-cleared fertility application;Journal of Obstetrics and Gynaecology;2024-04-17

3. Powered by AI;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-12-19

4. Artificial intelligence augmented clinical decision support systems for pregnancy care: a systematic review (Preprint);Journal of Medical Internet Research;2023-11-20

5. Artificial intelligence augmented clinical decision support systems for pregnancy care: a narrative review (Preprint);2023-11-20