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pro vyhledávání: '"Berndt, Donald J."'
Autor:
Prabhune, Sonal, Berndt, Donald J.
Knowing that the generative capabilities of large language models (LLM) are sometimes hampered by tendencies to hallucinate or create non-factual responses, researchers have increasingly focused on methods to ground generated outputs in factual data.
Externí odkaz:
http://arxiv.org/abs/2411.11895
Autor:
Chakraborty, Saurav, Goyal, Sandeep, Rieder, Annamina, Onuchowska, Agnieszka, Berndt, Donald J.
Publikováno v:
In Decision Support Systems July 2024 182
Akademický článek
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Autor:
Kayhan, Varol O.1, Berndt, Donald J.1
Publikováno v:
Communications of the Association for Information Systems. 2023, Vol. 53, p667-681. 15p.
Publikováno v:
In Decision Support Systems 2012 52(2):331-341
Autor:
Finch, Dezon, Berndt, Donald J.
Publikováno v:
Journal of Systems and Information Technology, 2008, Vol. 10, Issue 2, pp. 109-119.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/13287260810897747
Publikováno v:
ETSU Faculty Works.
Objective: To determine how well statistical text mining (STM) models can identify falls within clinical text associated with an ambulatory encounter. Materials and Methods: 2241 patients were selected with a fall-related ICD-9-CM E-code or matched i
Externí odkaz:
https://dc.etsu.edu/etsu-works/14212
Autor:
Luther, Stephen L., McCart, James A., Berndt, Donald J., Hahm, Bridget, Finch, Dezon, Jarman, Jay, Foulis, Philip R., Lapcevic, William A., Campbell, Robert R., Shorr, Ronald I., Valencia, Keryl Motta, Powell-Cope, Gail
Publikováno v:
ETSU Faculty Works.
Objectives. We determined whether statistical text mining (STM) can identify fall-related injuries in electronic health record (EHR) documents and the impact on STM models of training on documents from a single or multiple facilities. Methods. We obt
Externí odkaz:
https://dc.etsu.edu/etsu-works/15634
Publikováno v:
ETSU Faculty Works.
Objective: To determine how well statistical text mining (STM) models can identify falls within clinical text associated with an ambulatory encounter. Materials and Methods: 2241 patients were selected with a fall-related ICD-9-CM E-code or matched i
Externí odkaz:
https://dc.etsu.edu/etsu-works/14743
Autor:
Berndt, Donald J., Fisher, John W., Craighead, Jamie Griffiths, Hevner, Alan R., Luther, Stephen, Studnicki, James
Publikováno v:
In Decision Support Systems 2007 43(4):1383-1403