Cargando…
Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study
BACKGROUND: Delirium in hospitalized patients is a syndrome of acute brain dysfunction. Diagnostic (International Classification of Diseases [ICD]) codes are often used in studies using electronic health records (EHRs), but they are inaccurate. OBJECTIVE: We sought to develop a more accurate method...
Autores principales: | Ge, Wendong, Alabsi, Haitham, Jain, Aayushee, Ye, Elissa, Sun, Haoqi, Fernandes, Marta, Magdamo, Colin, Tesh, Ryan A, Collens, Sarah I, Newhouse, Amy, MVR Moura, Lidia, Zafar, Sahar, Hsu, John, Akeju, Oluwaseun, Robbins, Gregory K, Mukerji, Shibani S, Das, Sudeshna, Westover, M Brandon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270709/ https://www.ncbi.nlm.nih.gov/pubmed/35749214 http://dx.doi.org/10.2196/33834 |
Ejemplares similares
-
Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language Processing
por: Fernandes, Marta, et al.
Publicado: (2021) -
Classification of neurologic outcomes from medical notes using natural language processing
por: Fernandes, Marta B., et al.
Publicado: (2023) -
Prolonged Intubation in Patients With Prior Cerebrovascular Disease and COVID-19
por: Mukerji, Shibani S., et al.
Publicado: (2021) -
COVID-19 Outpatient Screening: a Prediction Score for Adverse Events
por: Sun, Haoqi, et al.
Publicado: (2020) -
CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis
por: Sun, Haoqi, et al.
Publicado: (2020)