Text mining-based measurement of precision of polysomnographic reports as basis for intervention.

Publikation

Text mining-based measurement of precision of polysomnographic reports as basis for intervention.

Wissenschaftlicher Artikel/Review - 31.01.2022

Baty Florent, Hegermann Jemima, Locatelli Tiziana, Rüegg Claudio, Gysin Christian, Rassouli Frank, Brutsche Martin

Zitation

Baty F, Hegermann J, Locatelli T, Rüegg C, Gysin C, Rassouli F, Brutsche M. Text mining-based measurement of precision of polysomnographic reports as basis for intervention. J Biomed Semantics 2022; 13:5.

Art

Wissenschaftlicher Artikel/Review (Englisch)

Zeitschrift

J Biomed Semantics 2022; 13

Veröffentlichungsdatum

31.01.2022

eISSN (Online)

2041-1480

Seiten

Kurzbeschreibung/Zielsetzung

Text mining can be applied to automate knowledge extraction from unstructured data included in medical reports and generate quality indicators applicable for medical documentation. The primary objective of this study was to apply text mining methodology for the analysis of polysomnographic medical reports in order to quantify sources of variation - here the diagnostic precision vs. the inter-rater variability - in the work-up of sleep-disordered breathing. The secondary objective was to assess the impact of a text block standardization on the diagnostic precision of polysomnography reports in an independent test set.