Classifiers of Data Sharing Statements in Clinical Trial Records
Jelodari Mamaghani S, Strantz C, Toddenroth D
Publication Type: Conference contribution
Journal
Publisher: IOS Press BV
Series: Studies in Health Technology and Informatics
City/Town: Amsterdam
Book Volume: 316
Pages Range: 834-838
Conference Proceedings Title: Digital Health and Informatics Innovations for Sustainable Health Care Systems. Proceedings of MIE 2024
Event location: Athens
ISBN: 9781643685335
DOI: 10.3233/SHTI240541
Abstract
Digital individual participant data (IPD) from clinical trials are increasingly distributed for potential scientific reuse. The identification of available IPD, however, requires interpretations of textual data-sharing statements (DSS) in large databases. Recent advancements in computational linguistics include pre-trained language models that promise to simplify the implementation of effective classifiers based on textual inputs. In a subset of 5,000 textual DSS from ClinicalTrials.gov, we evaluate how well classifiers based on domain-specific pre-trained language models reproduce original availability categories as well as manually annotated labels. Typical metrics indicate that classifiers that predicted manual annotations outperformed those that learned to output the original availability categories. This suggests that the textual DSS descriptions contain applicable information that the availability categories do not, and that such classifiers could thus aid the automatic identification of available IPD in large trial databases.
Authors with CRIS profile
Cosima Strantz
Lehrstuhl für Medizinische Informatik
Dennis Toddenroth
Lehrstuhl für Medizinische Informatik
How to cite
APA:
Jelodari Mamaghani, S., Strantz, C., & Toddenroth, D. (2024). Classifiers of Data Sharing Statements in Clinical Trial Records. In John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou (Eds.), Digital Health and Informatics Innovations for Sustainable Health Care Systems. Proceedings of MIE 2024 (pp. 834-838). Athens, GR: Amsterdam: IOS Press BV.
MLA:
Jelodari Mamaghani, Saber, Cosima Strantz, and Dennis Toddenroth. "Classifiers of Data Sharing Statements in Clinical Trial Records." Proceedings of the 34th Medical Informatics Europe Conference, MIE 2024, Athens Ed. John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou, Amsterdam: IOS Press BV, 2024. 834-838.
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