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Predictive modeling of axillary web syndrome in Chinese postoperative breast cancer patients using interpretable machine learning

Source: Frontiers - Health • Published: 03 Sept 2026, 00:00

Predictive modeling of axillary web syndrome in Chinese postoperative breast cancer patients using interpretable machine learning

A paper develops and validates interpretable machine learning models to predict axillary web syndrome risk after breast cancer surgery, comparing algorithms and clinical predictors.

Key Takeaways
  • Postoperative lymphedema was identified as a significant risk factor for axillary web syndrome
  • Patients aged 60 and older had a 73% higher AWS risk compared with younger patients
  • AWS occurrence within one month post-surgery raised threefold the risk of lymphedema within three months
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