Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Graciela Gonzalez‐Hernandez"'
Autor:
Yunwen Wang, Karen O’Connor, Ivan Flores, Carl T Berdahl, Ryan J Urbanowicz, Robin Stevens, José A Bauermeister, Graciela Gonzalez-Hernandez
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e59193 (2024)
BackgroundThe mpox outbreak resulted in 32,063 cases and 58 deaths in the United States and 95,912 cases worldwide from May 2022 to March 2024 according to the US Centers for Disease Control and Prevention (CDC). Like other disease outbreaks (eg, HIV
Externí odkaz:
https://doaj.org/article/d3792a4a47404cdc82b1c9b93d922b90
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 7 (2024)
Externí odkaz:
https://doaj.org/article/22e7c8b8c6d643498a5d12c5d183e8ed
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
Autor:
Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O’Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas Tatonetti, Kyoung Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore
Publikováno v:
BioData Mining, Vol 16, Iss 1, Pp 1-11 (2023)
Abstract The introduction of large language models (LLMs) that allow iterative “chat” in late 2022 is a paradigm shift that enables generation of text often indistinguishable from that written by humans. LLM-based chatbots have immense potential
Externí odkaz:
https://doaj.org/article/4064623157dd4394a531c1a35468a3a1
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:
Su Golder, Ari Z Klein, Arjun Magge, Karen O’Connor, Haitao Cai, Davy Weissenbacher, Graciela Gonzalez-Hernandez
Publikováno v:
Digital Health, Vol 8 (2022)
Objective Given the uncertainty about the trends and extent of the rapidly evolving COVID-19 outbreak, and the lack of extensive testing in the United Kingdom, our understanding of COVID-19 transmission is limited. We proposed to use Twitter to ident
Externí odkaz:
https://doaj.org/article/1bbc9543ea62467e9f7de70e7766d4f4