A demonstration that breast cancer recurrence can be predicted by neural network analysis.
作者： Peter M. Ravdin , Gary M. Clark , Susan G. Hilsenbeck , Marilyn A. Owens , Patricia Vendely
DOI: 10.1007/BF01811963
关键词:
摘要: Neural Network Analysis, a form of artificial intelligence, was successfully used to predict the clinical outcome node-positive breast cancer patients. A trained using prognostic information from 1008 During training, network received as input tumor hormone receptor status, DNA index and S-phase determination by flow cytometry, size, number axillary lymph nodes involved with tumor, age patient, well lengtl followup, relapse time relapse. The ability determine probability then validated in separate set 960 powerful Cox Regression Modeling inidentifying patients at high low risk for
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