Classifying Clinical Evidence Levels of Cancer Variants in Biomedical Literature Using Machine Learning and Large Language Models.

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Bibliographic Details
Title: Classifying Clinical Evidence Levels of Cancer Variants in Biomedical Literature Using Machine Learning and Large Language Models.
Authors: Credidio G; University Medical Center Hamburg-Eppendorf (UKE), Institute for Applied Medical Informatics, Hamburg, Germany., Größler M; University Medical Center Hamburg-Eppendorf (UKE), Institute for Applied Medical Informatics, Hamburg, Germany., Roth B; Secondary Use of Data in Oncology Group, Clinical Trial Office, DKFZ, Heidelberg, Germany., Knurr A; Secondary Use of Data in Oncology Group, Clinical Trial Office, DKFZ, Heidelberg, Germany., Riemann LT; University Medical Center Hamburg-Eppendorf (UKE), Institute for Applied Medical Informatics, Hamburg, Germany.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 854-858.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI260300