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Logistic LASSO regression for the diagnosis of breast cancer using clinical demographic data and the BI-RADS lexicon for ultrasonography.

Sun Mi KimYongdai KimKuhwan JeongHeeyeong JeongJi Young Kim
Published in: Ultrasonography (Seoul, Korea) (2017)
Logistic LASSO regression based on BI-RADS descriptors and CDD showed better performance than SL in predicting the presence of breast cancer. The use of CDD as a supplement to the BI-RADS descriptors significantly improved the prediction of breast cancer using logistic LASSO regression.
Keyphrases
  • magnetic resonance imaging
  • electronic health record
  • breast cancer risk