Text mining method to unravel long COVID's clinical condition in hospitalized patients.

ABSTRACT: Long COVID is characterized by persistent that extends symptoms beyond established timeframes. Its varied presentation across different populations and healthcare systems poses significant challenges in understanding its clinical manifestations and implications. In this study, we present a novel application of text mining technique to automatically extract unstructured data from a long COVID survey conducted at a prominent university hospital in São Paulo, Brazil. Our phonetic text clustering (PTC) method enables the exploration of unstructured Electronic Healthcare Records (EHR) data to unify different written forms of similar terms into a single phonemic representation. We used n-gram text analysis to detect compound words and negated terms in Portuguese-BR, focusing on medical condition

SUBMITTER: Veras Florentino PT 

PROVIDER: S-EPMC11399332 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature