Estimating the pertussis burden in adolescents and adults in the United States between 2007 and 2019

We developed a machine learning algorithm to identify undiagnosed pertussis episodes in adolescent and adult patients with reported acute respiratory disease (ARD) using clinician notes in an electronic healthcare record (EHR) database. Here, we utilized the algorithm to better estimate the overall...

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Detalles Bibliográficos
Autores principales: Macina, Denis, Mathur, Sachin, Dvaretskaya, Maryia, Ekhtiari, Sam, Hayat, Paul, Montmerle, Martin, Daluwatte, Chathuri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Public Health & Policy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184607/
https://www.ncbi.nlm.nih.gov/pubmed/37171153
http://dx.doi.org/10.1080/21645515.2023.2208514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184607/
https://www.ncbi.nlm.nih.gov/pubmed/37171153
http://dx.doi.org/10.1080/21645515.2023.2208514

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