A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking

K Li, I Urteaga, A Shea, VJ Vitzthum… - Journal of the …, 2022 - academic.oup.com
Objective The study sought to build predictive models of next menstrual cycle start date
based on mobile health self-tracked cycle data. Because app users may skip tracking …

Menstrual cycle tracking in professional volleyball athletes

A Roffler, MT Fleddermann, H De Haan… - Frontiers in Sports and …, 2024 - frontiersin.org
Introduction The menstrual cycle may affect well-being and physical performance of elite
female athletes by interfering with the function of multiple physiological systems. The aim of …

Factors that Shape Women's Reproductive Decision-Making: A Scoping Review.

S Rich, GL Haintz, H McKenzie, M Graham - Journal of Research in …, 2021 - ceeol.com
Women's reproductive decisions have profound impacts on the lives of women and society.
While previous research has examined the outcomes and experiences of women's …

[HTML][HTML] Mathematical modelling of follicular growth and ovarian stimulation

S Fischer-Holzhausen, S Röblitz - Current Opinion in Endocrine and …, 2022 - Elsevier
The aim of ovarian stimulation in fertility treatment is to increase the number of large follicles
and hence the number of eggs that can be retrieved for in vitro fertilisation (IVF). However …

Tracking women's reproductive data in sport: practical limitations, perils and pitfalls

KV Casto - Sports Medicine, 2022 - Springer
In 2019, the US women's national team won gold in the FIFA Women's World Cup. Following
this conclusion, a flurry of news articles [1–3] revealed one of the team's sport-science …

Injury incidence, severity and type across the menstrual cycle in elite female professional footballers: a prospective three season cohort study

A Barlow, JM Blodgett, S Williams, CR Pedlar… - medRxiv, 2023 - medrxiv.org
Objectives: The aim of the study was to assess the influence of menstrual cycle phase on
injury incidence, severity and type in elite female professional footballers over three …

A contemporary understanding of iron metabolism in active premenopausal females

CE Badenhorst, AK Forsyth, AD Govus - Frontiers in Sports and Active …, 2022 - frontiersin.org
Iron metabolism research in the past decade has identified menstrual blood loss as a key
contributor to the prevalence of iron deficiency in premenopausal females. The reproductive …

The datafication of fertility and reproductive health: Menstrual cycle tracking apps and ovulation detection algorithms

M Morrison - Journal of Research in Gender Studies, 2021 - ceeol.com
With growing evidence of the datafication of fertility and reproductive health, there is a
pivotal need for comprehending menstrual cycle tracking apps and ovulation detection …

MC-Tracking: Towards Ubiquitous Menstrual Cycle Tracking Using the Smartphone

Y Wu, J Zhang, Y Chen, W Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Tracking the menstrual cycle (MC) is essential for women to manage their health and
schedule, especially for those with irregular MC. Existing MC tracking methods either rely on …

[PDF][PDF] Enhancing Babies' Sleep Schedule Prediction through Machine Learning

AFR i Sabala, MSY Wang - Health Technology, 2024 - utupub.fi
The project offers a methodical approach that includes background information, relevant
literature, dataset specifics, suggested techniques, findings, and conclusions. The results …