Text mining method to unravel long COVID’s clinical condition in hospitalized patients
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 conditions and symptoms related to long COVID. By leveraging text mining, we aim to contribute to a deeper understanding of this chronic condition and its implications for healthcare systems globally. The model developed in this study has the potential for scalability and applicability in other healthcare settings, thereby supporting broader research efforts and informing clinical decision-making for long COVID patients.
Authors
- Anderson H.F.F. Leão
- Pilar Tavares Veras Florentino (ORCID: https://orcid.org/0000-0001-8077-8100)
- Renata Bernardes David (ORCID: https://orcid.org/0000-0003-1956-6672)
- Henrique Zatti
- Juracy Bertoldo (ORCID: https://orcid.org/0000-0003-3589-2494)
- Manoel Barral‐Netto (ORCID: https://orcid.org/0000-0002-5823-7903)
- Soraya S. Smaili (ORCID: https://orcid.org/0000-0001-5844-1368)
- Alberto Cebukin
- Nancy Bellei (ORCID: https://orcid.org/0000-0001-6080-5693)
- Viviane Boaventura (ORCID: https://orcid.org/0000-0002-7241-6844)
- Tales Mota Machado (ORCID: https://orcid.org/0000-0003-0603-823X)
- Danilo Batista Vieira de Melo
- Caio Vinícius Luis (ORCID: https://orcid.org/0000-0001-6444-9614)
- C Cavalcanti (ORCID: https://orcid.org/0000-0002-1746-9396)
- E. Ravera
- Vinícius Borges Caixeta Araújo
- George G. C. Barbosa
- Matheus Henrique Citibaldi de Oliveira
Institutions
- Universidade Federal de Ouro Preto (BR)
- Universidade Federal da Bahia (BR)
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
- Associação Paulista de Medicina (BR)
- Fundação Oswaldo Cruz (BR)
- Universidade Federal de São Paulo (BR)
Publication Details
- Journal
- Cell Death and Disease
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1038/s41419-024-07043-4
- Citations
- 3
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Conselho Nacional de Desenvolvimento Científico e Tecnológico