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UMEval: a unified framework for explainable medical term semantic evaluation with large language models.

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Title: UMEval: a unified framework for explainable medical term semantic evaluation with large language models.
Authors: Liu S; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Feng L; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Luo Y; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Wang B; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Chen P; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Wang X; School of Medical Informatics and Engineering, Zunyi Medical University, Zunyi, 563000 China., Xu H; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Ma D; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Chen M; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Chen C; School of Data Science and Engineering, East China Normal University, Shanghai, 200062 China., Li H; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China., Wang Y; School of Data Science and Engineering, East China Normal University, Shanghai, 200062 China.
Source: Health information science and systems [Health Inf Sci Syst] 2026 Apr 07; Vol. 14 (1), pp. 52. Date of Electronic Publication: 2026 Apr 07 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: England NLM ID: 101638060 Publication Model: eCollection Cited Medium: Print ISSN: 2047-2501 (Print) Linking ISSN: 20472501 NLM ISO Abbreviation: Health Inf Sci Syst Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: UMEval: a unified framework for explainable medical term semantic evaluation with large language models.
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  Data: <searchLink fieldCode="AU" term="%22Liu+S%22">Liu S</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Feng+L%22">Feng L</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Luo+Y%22">Luo Y</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Wang+B%22">Wang B</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Chen+P%22">Chen P</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; School of Medical Informatics and Engineering, Zunyi Medical University, Zunyi, 563000 China.<br /><searchLink fieldCode="AU" term="%22Xu+H%22">Xu H</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Ma+D%22">Ma D</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Chen+M%22">Chen M</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; School of Data Science and Engineering, East China Normal University, Shanghai, 200062 China.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025 China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; School of Data Science and Engineering, East China Normal University, Shanghai, 200062 China.
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  Data: <searchLink fieldCode="JN" term="%22101638060%22">Health information science and systems</searchLink> [Health Inf Sci Syst] 2026 Apr 07; Vol. 14 (1), pp. 52. <i>Date of Electronic Publication: </i>2026 Apr 07 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101638060 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2047-2501 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220472501%22">20472501 </searchLink><i>NLM ISO Abbreviation: </i>Health Inf Sci Syst <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41959733
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        Value: 10.1007/s13755-026-00448-9
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              Text: 2026 Apr 07
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