Developing Automated Computer Algorithms to Track Periodontal Disease Change from Longitudinal Electronic Dental Records

Objective: To develop two automated computer algorithms to extract information from clinical notes, and to generate three cohorts of patients (disease improvement, disease progression, and no disease change) to track periodontal disease (PD) change over time using longitudinal electronic dental reco...

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Detalles Bibliográficos
Autores principales: Patel, Jay S., Kumar, Krishna, Zai, Ahad, Shin, Daniel, Willis, Lisa, Thyvalikakath, Thankam P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047444/
https://www.ncbi.nlm.nih.gov/pubmed/36980336
http://dx.doi.org/10.3390/diagnostics13061028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047444/
https://www.ncbi.nlm.nih.gov/pubmed/36980336
http://dx.doi.org/10.3390/diagnostics13061028

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