A machine learning model based on readers’ characteristics to predict their performances in reading screening mammograms

OBJECTIVES: Proposing a machine learning model to predict readers’ performances, as measured by the area under the receiver operating characteristics curve (AUC) and lesion sensitivity, using the readers’ characteristics. METHODS: Data were collected from 905 radiologists and breast physicians who c...

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Detalles Bibliográficos
Autores principales: Gandomkar, Ziba, Lewis, Sarah J., Li, Tong, Ekpo, Ernest U., Brennan, Patrick C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226081/
https://www.ncbi.nlm.nih.gov/pubmed/35122217
http://dx.doi.org/10.1007/s12282-022-01335-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226081/
https://www.ncbi.nlm.nih.gov/pubmed/35122217
http://dx.doi.org/10.1007/s12282-022-01335-3

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