Evaluating Large Language Models in extracting cognitive exam dates and scores
Evaluating Large Language Models in extracting cognitive exam dates and scores
About this item
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Author / Creator
Zhang, Hao , Jethani, Neil , Jones, Simon , Genes, Nicholas , Major, Vincent J. , Jaffe, Ian S. , Cardillo, Anthony B. , Heilenbach, Noah , Ali, Nadia Fazal , Bonanni, Luke J. , Clayburn, Andrew J. , Khera, Zain , Sadler, Erica C. , Prasad, Jaideep , Schlacter, Jamie , Liu, Kevin , Silva, Benjamin , Montgomery, Sophie , Kim, Eric J. , Lester, Jacob , Hill, Theodore M. , Avoricani, Alba , Chervonski, Ethan , Davydov, James , Small, William , Chakravartty, Eesha , Grover, Himanshu , Dodson, John A. , Brody, Abraham A. , Aphinyanaphongs, Yindalon , Masurkar, Arjun and Razavian, Narges
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
Ensuring reliability of Large Language Models (LLMs) in clinical tasks is crucial. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting clinical information, focusing on cognitive tests like MMSE and CDR. Our data consisted of 135,307 clinical notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA. After...
Alternative Titles
Full title
Evaluating Large Language Models in extracting cognitive exam dates and scores
Authors, Artists and Contributors
Author / Creator
Jethani, Neil
Jones, Simon
Genes, Nicholas
Major, Vincent J.
Jaffe, Ian S.
Cardillo, Anthony B.
Heilenbach, Noah
Ali, Nadia Fazal
Bonanni, Luke J.
Clayburn, Andrew J.
Khera, Zain
Sadler, Erica C.
Prasad, Jaideep
Schlacter, Jamie
Liu, Kevin
Silva, Benjamin
Montgomery, Sophie
Kim, Eric J.
Lester, Jacob
Hill, Theodore M.
Avoricani, Alba
Chervonski, Ethan
Davydov, James
Small, William
Chakravartty, Eesha
Grover, Himanshu
Dodson, John A.
Brody, Abraham A.
Aphinyanaphongs, Yindalon
Masurkar, Arjun
Razavian, Narges
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a75d72ec94b64755a5f737a01e709bd9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a75d72ec94b64755a5f737a01e709bd9
Other Identifiers
ISSN
2767-3170
E-ISSN
2767-3170
DOI
10.1371/journal.pdig.0000685
