Natural language processing of implantable cardioverter-defibrillator reports in hypertrophic cardiomyopathy: A paradigm for longitudinal device follow-up

BACKGROUND: The follow-up of implantable cardioverter-defibrillators (ICDs) generates large amounts of valuable structured and unstructured data embedded in device interrogation reports. OBJECTIVE: We aimed to build a natural language processing (NLP) model for automated capture of ICD-recorded even...

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Detalles Bibliográficos
Autores principales: Siontis, Konstantinos C., Bhopalwala, Huzefa, Dewaswala, Nakeya, Scott, Christopher G., Noseworthy, Peter A., Geske, Jeffrey B., Ommen, Steve R., Nishimura, Rick A., Ackerman, Michael J., Friedman, Paul A., Arruda-Olson, Adelaide M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Clinical
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562689/
https://www.ncbi.nlm.nih.gov/pubmed/34734207
http://dx.doi.org/10.1016/j.cvdhj.2021.05.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562689/
https://www.ncbi.nlm.nih.gov/pubmed/34734207
http://dx.doi.org/10.1016/j.cvdhj.2021.05.005

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