Automated Error Labeling in Radiation Oncology via Statistical Natural Language Processing

A report published in 2000 from the Institute of Medicine revealed that medical errors were a leading cause of patient deaths, and urged the development of error detection and reporting systems. The field of radiation oncology is particularly vulnerable to these errors due to its highly complex proc...

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Detalles Bibliográficos
Autores principales: Ganguly, Indrila, Buhrman, Graham, Kline, Ed, Mun, Seong K., Sengupta, Srijan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093130/
https://www.ncbi.nlm.nih.gov/pubmed/37046433
http://dx.doi.org/10.3390/diagnostics13071215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093130/
https://www.ncbi.nlm.nih.gov/pubmed/37046433
http://dx.doi.org/10.3390/diagnostics13071215

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