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

• Published in: Ultrasonography (Seoul, Korea) Vol. 37; no. 1; pp. 36 - 42
• Main Authors: Kim, Sun Mi, Kim, Yongdai, Jeong, Kuhwan, Jeong, Heeyeong, Kim, Jiyoung
• Format: Journal Article
• Language: English
• Published: Korea (South) Korean Society of Ultrasound in Medicine 01.01.2018; 대한초음파의학회
• Subjects: Biopsy; Breast; Breast cancer; Breast neoplasms; Datasets; Diagnosis; Electronic health records; Generalized linear models; Logistic models; Medical records; Medical screening; Original; Ultrasonic imaging; Ultrasonography; 방사선과학; United States > US; Breast; Breast neoplasms; Diagnosis; Logistic models; Ultrasonography

The aim of this study was to compare the performance of image analysis for predicting breast cancer using two distinct regression models and to evaluate the usefulness of incorporating clinical and demographic data (CDD) into the image analysis in order to improve the diagnosis of breast cancer. Thi...