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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 54 1 Satisfaction can co-exist with hesitation: qualitative analysis of acceptability of telemedicine among multi-lingual patients in a safety-net healthcare system during the COVID-19 pandemic. Nguyen, Michelle-Linh T; Garcia, Faviola; Juarez, Jennifer... In: BMC health services research, vol 22, iss 1 (2022) BASE Show details 2 Telemedicine implementation and use in community health centers during COVID-19: Clinic personnel and patient perspectives. Payán, Denise D; Frehn, Jennifer L; Garcia, Lorena. - : eScholarship, University of California, 2022 BASE Show details 3 Computational Models in Electroencephalography. Glomb, Katharina; Cabral, Joana; Cattani, Anna... In: Brain topography, vol 35, iss 1 (2022) BASE Show details 4 Effectiveness of mobile apps to improve urinary incontinence: a systematic review of randomised controlled trials Widdison, Renee; Rashidi, Amineh; Whitehead, Lisa In: Research outputs 2022 to 2026 (2022) BASE Show details 5 Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke Williams, Louise R.; Ali, Myzoon; VandenBerg, Kathryn... In: Research outputs 2014 to 2021 (2022) BASE Show details 6 Understanding the implementation of telepractice in speech and language services for children and adults using a mixed-methods approach ... Ramkumar, Vidya. - : Open Science Framework, 2022 BASE Show details 7 What matters when exploring fidelity when using health IT to reduce disparities? Handley, Margaret A; Landeros, Jerad; Wu, Cindie... In: BMC medical informatics and decision making, vol 21, iss 1 (2021) BASE Show details 8 Cross-Cultural Instrument Adaptation and Validation of Health Beliefs About Cancer Screening: A Methodological Systematic Review. Lei, Fang; Chen, Wei-Ti; Brecht, Mary-Lynn. - : eScholarship, University of California, 2021 BASE Show details 9 Electronic Medical Record- Coronavirus Disease (COVID-19) RIddle, Tyleka In: Night Flight Journal (2021) BASE Show details 10 Evolution of telehealth (Campbell & Goldstein, 2021) ... Campbell, Deborah R.; Goldstein, Howard. - : ASHA journals, 2021 BASE Show details 11 Evolution of telehealth (Campbell & Goldstein, 2021) ... Campbell, Deborah R.; Goldstein, Howard. - : ASHA journals, 2021 BASE Show details 12 Social Media Text Analytics: An Application to Prescription Opioids-Related Conversations Rahafrooz, Maryam In: Graduate Doctoral Dissertations (2021) Abstract: Accurately discovering knowledge from a huge volume of short messages generated daily on social media platforms is a critical challenge. Conventional topic models like Latent Dirichlet Allocation (LDA) and its variants that are widely used to automatically extract thematic information from regular-sized documents fail to discover essential information from short texts. Short text documents such as tweets, compared to regular-sized documents such as news articles, lack word co-occurrence information, which leads to very sparse and high dimensional vector representations. This extreme sparsity brings challenges to applying the conventional topic models on social media short texts. In this study, a novel heuristic topic model denoted as the Hashtag-Cluster-based Aggregation model (HCA) is developed to address this sparseness problem. This heuristic topic model treats tweets as semi-structured texts and uses hashtag relations to aggregate related tweets and create larger text documents for topic modeling. At an application level, the HCA model is used to study the topic of public conversations on Twitter about prescription opioids and joint discussions about prescription opioids and marijuana. Monitoring the topic of these discussions at a population scale, such as among the population of Twitter users, can help policymakers and public health officials to better understand the public perception about prescription opioids, study the association between prescription opioids and marijuana, detect abuse behaviors, and surveil the trend of related incidents. The proposed HCA model is evaluated using TF-IDF, GloVe, and FastText word embeddings in comparison to the Hashtag-based Aggregation model (HA), the most common heuristic hashtag-based Twitter aggregation model in the literature. Findings of the model evaluation proved the impact of including the hashtag information in topic modeling by generating more coherent topics than the HA model, which is based on aggregating tweets with the same hashtags. Keyword: Artificial Intelligence and Robotics; Computer Sciences; Hashtag-Cluster-based Aggregation model; Health Information Technology; Latent Dirichlet Allocation; Natural Language Processing; Prescription Opioids; Public Health; Social Media Analytics; Topic Modeling URL: https://scholarworks.umb.edu/cgi/viewcontent.cgi?article=1667&context=doctoral_dissertations https://scholarworks.umb.edu/doctoral_dissertations/668 BASE Hide details 13 Implementation of Telemedicine in a Laryngology Practice During the COVID-19 Pandemic: Lessons Learned, Experiences Shared. Strohl, Madeleine P; Dwyer, Christopher D; Ma, Yue... In: Journal of voice : official journal of the Voice Foundation, vol 36, iss 3 (2020) BASE Show details 14 The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey. Khoong, Elaine C; Rivadeneira, Natalie A; Hiatt, Robert A... In: Journal of medical Internet research, vol 22, iss 4 (2020) BASE Show details 15 The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey. Khoong, Elaine C; Rivadeneira, Natalie A; Hiatt, Robert A... In: Journal of medical Internet research, vol 22, iss 4 (2020) BASE Show details 16 Availability, Accessibility, Acceptability, and Quality of Interpreting Services to Refugee Women in New Zealand Shrestha-Ranjit, Jagamaya; Payne, Deborah; Koziol-McLain, Jane. - : Sage, 2020 BASE Show details 17 Seeking health content online: a survey of Internet users’ habits and needs Rossetti, Alessandra; O'Brien, Sharon In: Rossetti, Alessandra orcid:0000-0002-2162-9639 and O'Brien, Sharon orcid:0000-0003-4864-5986 (2018) Seeking health content online: a survey of Internet users’ habits and needs. In: Third Congress on Technological Innovation for Specialized Linguistic Domains (TISLID 18), 24-26 May 2018, Ghent, Belgium. ISBN 978-3-8417-8446-9 (2018) BASE Show details 18 Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims. Ratanawongsa, Neda; Quan, Judy; Handley, Margaret A... In: BMC health services research, vol 18, iss 1 (2018) BASE Show details 19 Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation Zhao, Yiqing; Fesharaki, Nooshin J.; Liu, Hongfang... In: Health Informatics & Administration Faculty Articles (2018) BASE Show details 20 Learning for clinical named entity recognition without manual annotations Ghiasvand, Omid; Kate, Rohit J. In: Health Informatics & Administration Faculty Articles (2018) BASE Show details Page: 1 2 3

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