Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Laura E Barnes"'
Autor:
Virginia LeBaron, Tabor Flickinger, David Ling, Hansung Lee, James Edwards, Anant Tewari, Zhiyuan Wang, Laura E Barnes
Publikováno v:
Digital Health, Vol 9 (2023)
Background Quality patient–clinician communication is paramount to achieving safe and compassionate healthcare, but evaluating communication performance during real clinical encounters is challenging. Technology offers novel opportunities to provid
Externí odkaz:
https://doaj.org/article/9eb19b8b9f054bab8210d47919046448
Autor:
Virginia LeBaron, Mehdi Boukhechba, James Edwards, Tabor Flickinger, David Ling, Laura E Barnes
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 5, p e37975 (2022)
BackgroundEffective communication is the bedrock of quality health care, but it continues to be a major problem for patients, family caregivers, health care providers, and organizations. Although progress related to communication skills training for
Externí odkaz:
https://doaj.org/article/d200cf570e2a41529d0f550726434d1b
Autor:
S. Michaela Rikard, Bommae Kim, Jonathan D. Michel, Shayn M. Peirce, Laura E. Barnes, Michael D. Williams
Publikováno v:
SSM: Population Health, Vol 19, Iss , Pp 101210- (2022)
Objective: To determine the prevalence of individual-level social risk factors documented in unstructured data from electronic health records (EHRs) and the relationship between social risk factors and adverse clinical outcomes. Study setting: Inpati
Externí odkaz:
https://doaj.org/article/32f2297857854250a42f925e5f5bad2e
Autor:
Zhiyuan Wang, Haoyi Xiong, Mingyue Tang, Mehdi Boukhechba, Tabor E. Flickinger, Laura E. Barnes
Publikováno v:
Health Data Science, Vol 2022 (2022)
Background. During the COVID-19 pandemic, mobile sensing and data analytics techniques have demonstrated their capabilities in monitoring the trajectories of the pandemic, by collecting behavioral, physiological, and mobility data on individual, neig
Externí odkaz:
https://doaj.org/article/de7bb7894dee4684a45a5c3fe47528d6
Autor:
Nicholas J. Napoli, Chad L. Stephens, Kellie D. Kennedy, Laura E. Barnes, Ezequiel Juarez Garcia, Angela R. Harrivel
Publikováno v:
Inf Fusion
In the area of human performance and cognitive research, machine learning (ML) problems become increasingly complex due to limitations in the experimental design, resulting in the development of poor predictive models. More specifically, experimental
Publikováno v:
IEEE Access, Vol 6, Pp 65333-65346 (2018)
The wide implementation of electronic health record (EHR) systems facilitates the collection of large-scale health data from real clinical settings. Despite the significant increase in adoption of EHR systems, these data remain largely unexplored, bu
Externí odkaz:
https://doaj.org/article/22af21b7376b4923b25f572c399ff33a
Autor:
Ilana Ladis, Tara L. Valladares, Daniel D. L. Coppersmith, Jeffrey J. Glenn, Alicia L. Nobles, Laura E. Barnes, Bethany A. Teachman
Publikováno v:
Suicide and Life-Threatening Behavior. 53:39-53
Identifying digital markers of sleep disturbance-a known suicide risk factor-may aid in the detection of imminent suicide risk. This study examined sleep-related communication and texting patterns in personal text messages (N = 86,705) of suicide att
Autor:
Shiyu Deng, Tianzi Wang, Jacob Hartman-Kenzler, Sarah Henrickson Parker, Shawn D. Safford, Laura E. Barnes, Nathan Lau
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66:216-220
Eye metrics are effective indicators of focused visual attention and perceived workload that have been used to differentiate surgical expertise and task difficulties. However, the change in eye metrics throughout surgical training in a cohort of trai
Autor:
Ilana Ladis, Emma R. Toner, Alexander R. Daros, Katharine E. Daniel, Mehdi Boukhechba, Philip I. Chow, Laura E. Barnes, Bethany A. Teachman, Brett Q. Ford
Publikováno v:
Affective Science.
Autor:
Laura E. Barnes
Publikováno v:
CIIS Ulima Congreso Internacional de Ingeniería de Sistemas. :35-40
A better understanding of an individual’s smartphone use can help researchers to improve methods for early detection, evaluation, and intervention of anxiety disorders.For this reason, we present an exploratory study of behavioral markers extracted