Using data mining technology to predict medication-taking behaviour in women with breast cancer: A retrospective study.

Multiple logistic regression was the most effective approach, achieving an accuracy of 96.37%, specificity of 96.75% and sensitivity of 96.12%. The duration of adjuvant hormone therapy discontinuation, duration of adjuvant hormone therapy use and age at diagnosis by data mining were the three most critical factors influencing the medication-taking behaviours of people with breast cancer.