Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse.

Autor: Weinzierl MA; Department of Computer Science, Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX, 75080, USA. maxwell.weinzierl@utdallas.edu., Hopfer S; Department of Health Society and Behavior, Department of Pediatrics, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, CA, 92617, USA., Harabagiu SM; Department of Computer Science, Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX, 75080, USA.

Publikováno v: Journal of behavioral medicine [J Behav Med] 2023 Apr; Vol. 46 (1-2), pp. 253-275. Date of Electronic Publication: 2022 May 30.

Adaptation and Dissemination of a National Cancer Institute HPV Vaccine Evidence-Based Cancer Control Program to the Social Media Messaging Environment.

Autor: Hopfer S; Program in Public Health, Department of Health, Society, and Behavior, University of California, Irvine, Irvine, CA, United States., Phillips KK; Program in Public Health, Department of Health, Society, and Behavior, University of California, Irvine, Irvine, CA, United States., Weinzierl M; Department of Computer Science, University of Texas at Dallas, Richardson, TX, United States., Vasquez HE; Program in Public Health, Department of Health, Society, and Behavior, University of California, Irvine, Irvine, CA, United States., Alkhatib S; Program in Public Health, Department of Health, Society, and Behavior, University of California, Irvine, Irvine, CA, United States., Harabagiu SM; Department of Computer Science, University of Texas at Dallas, Richardson, TX, United States.

Publikováno v: Frontiers in digital health [Front Digit Health] 2022 Jul 27; Vol. 4, pp. 819228. Date of Electronic Publication: 2022 Jul 27 (Print Publication: 2022).

The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.

Autor: Weinzierl MA; Human Language Technology Research Institute, Department of Computer Science, Erik Jonsson School of Engineering & Computer Science, University of Texas at Dallas, Richardson, Texas, USA., Maldonado R; Human Language Technology Research Institute, Department of Computer Science, Erik Jonsson School of Engineering & Computer Science, University of Texas at Dallas, Richardson, Texas, USA., Harabagiu SM; Human Language Technology Research Institute, Department of Computer Science, Erik Jonsson School of Engineering & Computer Science, University of Texas at Dallas, Richardson, Texas, USA.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2020 Oct 01; Vol. 27 (10), pp. 1556-1567.

Active deep learning for the identification of concepts and relations in electroencephalography reports.

Autor: Maldonado R; Human Language Technology Research Institute, Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA. Electronic address: ramon@hlt.utdallas.edu., Harabagiu SM; Human Language Technology Research Institute, Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA. Electronic address: sanda@hlt.utdallas.edu.

Publikováno v: Journal of biomedical informatics [J Biomed Inform] 2019 Oct; Vol. 98, pp. 103265. Date of Electronic Publication: 2019 Aug 27.

The Role of a Deep-Learning Method for Negation Detection in Patient Cohort Identification from Electroencephalography Reports.

Autor: Taylor SJ; The University of Texas at Dallas, Richardson, TX, USA., Harabagiu SM; The University of Texas at Dallas, Richardson, TX, USA.

Publikováno v: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2018 Dec 05; Vol. 2018, pp. 1018-1027. Date of Electronic Publication: 2018 Dec 05 (Print Publication: 2018).