This paper is in the following e-collection/theme issue:

Data Science (361) AI Language Models in Health Care (209) Natural Language Processing (924) Machine Learning (2097) Methods and Instruments in Medical Informatics (196) Secondary Use of Clinical Data for Research and Surveillance (477)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73325, first published .
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models

Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models

Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models

Authors of this article:

Tabinda Sarwar1 Author Orcid Image ;   Antonio José Jimeno Yepes1 Author Orcid Image ;   Lawrence Cavedon1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Tabinda Sarwar   1 * , PhD ;   Antonio José Jimeno Yepes   1 * , PhD ;   Lawrence Cavedon   1 , PhD

1 Royal Melbourne Institute of Technology University, Melbourne, Australia

*these authors contributed equally

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