Predicting the risk of locoregional recurrence after early breast cancer: an external validation of the Dutch INFLUENCE-nomogram with clinical cancer registry data from Germany.

Vinzenz VölkelTeresa DraegerCatharina G M Groothuis-OudshoornLinda de MunckTom HuetingMichael GerkenMonika Klinkhammer-SchalkeMiha LavricSabine Siesling

Published in: Journal of cancer research and clinical oncology (2019)

The outcomes of this external validation underline the generalizability of the INFLUENCE-nomogram beyond the Dutch population. The model performance could be enhanced in future by incorporating additional risk factors for LRR.

Keyphrases

early breast cancer
lymph node metastasis
papillary thyroid
squamous cell
big data
type diabetes
squamous cell carcinoma
machine learning
young adults
adipose tissue
data analysis
artificial intelligence
skeletal muscle
glycemic control