Combination of a Big Data Analytics Resource System With an Artificial Intelligence Algorithm to Identify Clinically Actionable Radiation Dose Thresholds for Dysphagia in Head and Neck Patients

PURPOSE: We combined clinical practice changes, standardizations, and technology to automate aggregation, integration, and harmonization of comprehensive patient data from the multiple source systems used in clinical practice into a big data analytics resource system (BDARS). We then developed novel...

Descripción completa

Detalles Bibliográficos
Autores principales: Mayo, Charles S., Mierzwa, Michelle, Moran, Jean M., Matuszak, Martha M., Wilkie, Joel, Sun, Grace, Yao, John, Weyburn, Grant, Anderson, Carlos J., Owen, Dawn, Rao, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Scientific Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718557/
https://www.ncbi.nlm.nih.gov/pubmed/33305091
http://dx.doi.org/10.1016/j.adro.2019.12.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718557/
https://www.ncbi.nlm.nih.gov/pubmed/33305091
http://dx.doi.org/10.1016/j.adro.2019.12.007

Ejemplares similares