Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications

Influenza vaccinations are recommended for high-risk individuals, but few population-based strategies exist to identify individual risks. Patient-level data from unvaccinated individuals, stratified into retrospective cases (n = 111,022) and controls (n = 2,207,714), informed a machine learning mode...

Descripción completa

Detalles Bibliográficos
Autores principales: Wolk, Donna M., Lanyado, Alon, Tice, Ann Marie, Shermohammed, Maheen, Kinar, Yaron, Goren, Amir, Chabris, Christopher F., Meyer, Michelle N., Shoshan, Avi, Abedi, Vida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332321/
https://www.ncbi.nlm.nih.gov/pubmed/35893436
http://dx.doi.org/10.3390/jcm11154342

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332321/
https://www.ncbi.nlm.nih.gov/pubmed/35893436
http://dx.doi.org/10.3390/jcm11154342

Ejemplares similares