Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Ari Z. Klein"'
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
Advancing the utility of social media data for research applications requires methods for automatically detecting demographic information about social media study populations, including users’ age. The objective of this study was to develop and eva
Externí odkaz:
https://doaj.org/article/9dec97ca6aae40f28797db0227278aed
Publikováno v:
Data in Brief, Vol 32, Iss , Pp 106249- (2020)
Despite the prevalence in the United States of miscarriage [1], stillbirth [2], and infant mortality associated with preterm birth and low birthweight [3], their causes remain largely unknown [4–6]. To advance the use of social media data as a comp
Externí odkaz:
https://doaj.org/article/b4587773e8fa4659b618d8a4212ba5d2
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e50652 (2024)
We manually annotated 9734 tweets that were posted by users who reported their pregnancy on Twitter, and used them to train, evaluate, and deploy deep neural network classifiers (F1-score=0.93) to detect tweets that report having a child with attenti
Externí odkaz:
https://doaj.org/article/444629bcc7084c94aeb53dd47fa0f99c
Autor:
Karen O'Connor, Su Golder, Davy Weissenbacher, Ari Z Klein, Arjun Magge, Graciela Gonzalez-Hernandez
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e47923 (2024)
BackgroundPatient health data collected from a variety of nontraditional resources, commonly referred to as real-world data, can be a key information source for health and social science research. Social media platforms, such as Twitter (Twitter, Inc
Externí odkaz:
https://doaj.org/article/54be9b657ffc4072b081103097149cd5
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e46484 (2023)
Externí odkaz:
https://doaj.org/article/388c9850af3b4a11a61e7b064d4f4f34
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e40569 (2023)
Externí odkaz:
https://doaj.org/article/2e9b5f2cf475418292aab10b059581bd
Publikováno v:
JMIR Aging, Vol 5, Iss 3, p e39547 (2022)
BackgroundMore than 6 million people in the United States have Alzheimer disease and related dementias, receiving help from more than 11 million family or other informal caregivers. A range of traditional interventions has been developed to support f
Externí odkaz:
https://doaj.org/article/a6e6b93249b44235a5e61a4b3ffd96c2
Publikováno v:
JMIR Formative Research, Vol 6, Iss 6, p e36771 (2022)
BackgroundDespite the fact that medication is taken during more than 90% of pregnancies, the fetal risk for most medications is unknown, and the majority of medications have no data regarding safety in pregnancy. ObjectiveUsing β-blockers as a proo
Externí odkaz:
https://doaj.org/article/f2280454d2fb415ba0ae4ca66a14b1e3
Autor:
Ari Z Klein, Steven Meanley, Karen O'Connor, José A Bauermeister, Graciela Gonzalez-Hernandez
Publikováno v:
JMIR Public Health and Surveillance, Vol 8, Iss 4, p e32405 (2022)
BackgroundPre-exposure prophylaxis (PrEP) is highly effective at preventing the acquisition of HIV. There is a substantial gap, however, between the number of people in the United States who have indications for PrEP and the number of them who are pr
Externí odkaz:
https://doaj.org/article/4bc3f2487fb1450ab91252418756afdb
Publikováno v:
JMIR Formative Research, Vol 6, Iss 1, p e33792 (2022)
BackgroundCOVID-19 during pregnancy is associated with an increased risk of maternal death, intensive care unit admission, and preterm birth; however, many people who are pregnant refuse to receive COVID-19 vaccination because of a lack of safety dat
Externí odkaz:
https://doaj.org/article/c24f38fbc9f646d89298313520d30c75