1.
Stud Health Technol Inform
; 310: 619-623, 2024 Jan 25.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38269883
RESUMO
According to the World Stroke Organization, 12.2 million people world-wide will have their first stroke this year almost half of which will die as a result. Natural Language Processing (NLP) may improve stroke phenotyping; however, existing rule-based classifiers are rigid, resulting in inadequate performance. We report findings from a pilot study using NLP to improve relation detection for stroke assertion detection to support research studies and healthcare operations.