Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification ...
Clinical machine learning research and AI driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and expensive. This study tests the feasibility of automatic span- and document-level diagnosis extraction from unstructured Dutch echocardiogram reports. We included 115,692 unstructured echocardiogram reports from the UMCU a large university hospital in the Netherlands. A randomly selected subset was manually annotated for the occurrence and severity of eleven commonly described car... Mehr ...
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Dokumenttyp: | CreativeWork |
Erscheinungsdatum: | 2024 |
Verlag/Hrsg.: |
arXiv
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Schlagwörter: | Computation and Language cs.CL / Artificial Intelligence cs.AI / FOS: Computer and information sciences / I.2.7; J.3; H.3.3 / 68T50 / 68P20 |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28980425 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.48550/arxiv.2408.06930 |