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<div><p>Objective</p><p>Non-puerperal mastitis (NPM) is an inflammatory breast disease affecting women during non-lactation periods, and it is prone to relapse after being cured. Accurate prediction of its recurrence is crucial for personalized adjuvant therapy, and pathologi...

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Bibliographic Details
Main Author:	Gaosha Li (20570760) (author)
Other Authors:	Qian Yu (127062) (author), Feng Dong (142012) (author), Zhaoxia Wu (640640) (author), Xijing Fan (20570763) (author), Lingling Zhang (116711) (author), Ying Yu (7066) (author)
Published:	2025
Subjects:	Medicine Cell Biology Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified xgboost &# 12289 sup >+</ sup shapley additive explanations personalized adjuvant therapy individualized treatment decisions examine differential indicators 90 %: 10 external validation group external validation cohort model effectively achieved 25 npm patients 120 npm patients predict npm recurrence decision curve analysis predicting npm recurrence finally selected model xlink "> non xlink "> recurrence group predicting recurrence univariate analysis training cohort testing cohort recurrence model recurrence models optimal model model showed best model variable selection test set random allocation puerperal mastitis primary basis pathological examination machine learning lasso regression lactation periods highest area effective tool dca revealed dca ), cell count bacterial infection another center aids doctors accurate prediction 61 ).
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