Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Virginia J. Vitzthum"'
Publikováno v:
BMC Women's Health, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Heavy menstrual bleeding (HMB) is associated with impaired quality of life and may signal serious health problems. Unresolved challenges in measuring menstrual bleeding and identifying HMB have hampered research and clinical care.
Externí odkaz:
https://doaj.org/article/456d90fbb7d445d6ba0c728847db9058
Publikováno v:
BMC Women's Health, Vol 23, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/56608567ee414f48ab18cae090e683ba
Autor:
Kathy Li, Iñigo Urteaga, Chris H. Wiggins, Anna Druet, Amanda Shea, Virginia J. Vitzthum, Noémie Elhadad
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-13 (2020)
Abstract The menstrual cycle is a key indicator of overall health for women of reproductive age. Previously, menstruation was primarily studied through survey results; however, as menstrual tracking mobile apps become more widely adopted, they provid
Externí odkaz:
https://doaj.org/article/6dbf3df4478a4eda941ff103364754ab
Publikováno v:
PLoS ONE, Vol 15, Iss 9 (2020)
Digital technologies are increasingly intertwined into people’s sexual lives, with growing scholarly interest in the intersection of sex and technology (sex–tech). However, much of the literature is limited by its over emphasis on negative outcom
Externí odkaz:
https://doaj.org/article/a6ef794e880c406ab109ebd41a7ae7f7
Publikováno v:
JMIR Formative Research, Vol 7, p e44705 (2023)
BackgroundThere is a widely acknowledged global need for more research on reproductive health (including contraception, menstrual health, sexuality, and maternal morbidities) and its impact on overall well-being. However, several factors—notably, h
Externí odkaz:
https://doaj.org/article/0bae323e842448a39130d4b0aaba603f
Autor:
Mecca E Burris, Esperanza Caceres, Emily M Chester, Kathryn A Hicks, Thomas W McDade, Lynn Sikkink, Hilde Spielvogel, Jonathan Thornburg, Virginia J Vitzthum
Publikováno v:
Evolution, Medicine, and Public Health. 10:409-428
Background/Objectives We evaluated potential socioeconomic contributors to variation in Andean adolescents’ growth between households within a peri-urban community undergoing rapid demographic and economic change, between different community types
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8576932039d98170977e1942b3c9762
https://doi.org/10.1093/emph/eoac033
https://doi.org/10.1093/emph/eoac033
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
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, disentangling physiological patterns of menstruation from tracking behaviors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::348644608fa77bde4c47e29006400184
http://europepmc.org/articles/PMC8714275
http://europepmc.org/articles/PMC8714275
Autor:
Anna Druet, Virginia J. Vitzthum, Iñigo Urteaga, Amanda Shea, Chris H. Wiggins, Kathy Li, Noémie Elhadad
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-13 (2020)
NPJ Digital Medicine
NPJ Digital Medicine
The menstrual cycle is a key indicator of overall health for women of reproductive age. Previously, menstruation was primarily studied through survey results; however, as menstrual tracking mobile apps become more widely adopted, they provide an incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94ca15e11be0485ca644367f56ace9c8
https://doaj.org/article/6dbf3df4478a4eda941ff103364754ab
https://doaj.org/article/6dbf3df4478a4eda941ff103364754ab
Autor:
Amanda Shea, Virginia J. Vitzthum
Publikováno v:
Drug Discovery Today: Disease Models. 32:41-49
Purpose Menstrual cycle variability has been extensively documented, yet this basic physiological fact has not been well integrated into studies of women’s health. We examine the extent, causes, and implications for clinical research of non-patholo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edab11393cf222a4a585287dca06fcd2
https://doi.org/10.1016/j.ddmod.2020.11.002
https://doi.org/10.1016/j.ddmod.2020.11.002
Autor:
Iñigo, Urteaga, Kathy, Li, Amanda, Shea, Virginia J, Vitzthum, Chris H, Wiggins, Noémie, Elhadad
Publikováno v:
Proc Mach Learn Res
We explore how to quantify uncertainty when designing predictive models for healthcare to provide well-calibrated results. Uncertainty quantification and calibration are critical in medicine, as one must not only accommodate the variability of the un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::78800111c285a028be83896943b0221c
https://pubmed.ncbi.nlm.nih.gov/35072087
https://pubmed.ncbi.nlm.nih.gov/35072087