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

Ziba GandomkarSarah J LewisTong LiErnest U EkpoPatrick C Brennan

Published in: Breast cancer (Tokyo, Japan) (2022)

A machine learning model can be used to categorize readers as high- or low-performing. Such model could be useful for screening programs for designing a targeted quality assurance and optimizing the double reading practice.

Keyphrases

machine learning
healthcare
primary care
working memory
public health
big data
deep learning
cancer therapy
drug delivery
quality improvement