Identification of hematuria with a natural language processing model and validation of hematuria diagnosecodes

Thromb Res. 2024 Dec:244:109182. doi: 10.1016/j.thromres.2024.109182. Epub 2024 Oct 12.

Authors

Rasmus Søgaard Hansen¹, Rasmus Bank Lynggaard², Martin Sundahl Laursen², Freja Maack Lykke², Pernille Just Vinholt³

Affiliations

¹ Dept. of Clinical Biochemistry, Odense University Hospital, Odense, Denmark. Electronic address: [email protected].
² Dept. of Clinical Biochemistry, Odense University Hospital, Odense, Denmark.
³ Dept. of Clinical Biochemistry, Odense University Hospital, Odense, Denmark; Dept. of Clinical Research, University of Southern Denmark, Odense, Denmark.

PMID: 39426095
DOI: 10.1016/j.thromres.2024.109182

No abstract available

Keywords: Diagnosecodes; Hematuria; NLP.

Publication types

Letter