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Automated Clinical Annotation of Lung Cancer Reports Using Transformer-Based NLP Models: A Benchmarking and Fine-Tuning Study on a Novel Tunisian Clinical Corpus

2026-04-22

Abstract excerpt

<h4>Background: </h4> Lung cancer causes more deaths than any other malignancy worldwide, accounting for 2.2 million new cases and 1.8 million deaths in 2020. Extracting structured clinical knowledge from unstructured French-language oncology records remains methodologically unresolved in Tunisian and Francophone healthcare systems, where validated natural language processing tools do not yet exist. This study exa...

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Literature Corpus work
11ff6b45-58ee-5ba6-956c-ed342fa27d56
DOI
10.20944/preprints202604.1557.v1
Open publication

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Automated Clinical Annotation of Lung Cancer Reports Using Transformer-Based NLP Models: A Benchmarking and Fine-Tuning Study on a Novel Tunisian Clinical CorpusDOI 10.20944/preprints202604.1557.v1
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