Developing a Diagnostic Decision Support Tool With Machine Learning Classification Algorithms to Improve Breast Cancer Screening: A Cross-Sectional Study on Iranian Women
Abstract:Background: Improper patient navigation and follow-up measures hamper breast cancer screening programs. To augment existing programs, we aimed to develop a decision support system for early breast cancer detection, by training and validating machine learning classification algorithms on routinely available patient data.Methods: Data were collected prospectively from eligible consenting women who visited a single university affiliated center in Tehran, Iran, during a two-year period. We selected 17 features fro… Show more
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