Comparison of Logistic Regression and Neural Net Modeling for Prediction of Prostate Cancer Pathologic Stage
نویسندگان
چکیده
منابع مشابه
Comparison of logistic regression and neural net modeling for prediction of prostate cancer pathologic stage.
BACKGROUND Prostate cancer (PCa) pathologic staging remains a challenge for the physician using individual pretreatment variables. We have previously reported that UroScore, a logistic regression (LR)-derived algorithm, can correctly predict organ-confined (OC) disease state with >90% accuracy. This study compares statistical and neural network (NN) approaches to predict PCa stage. METHODS A ...
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چکیده ندارد.
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ژورنال
عنوان ژورنال: Clinical Chemistry
سال: 2002
ISSN: 0009-9147,1530-8561
DOI: 10.1093/clinchem/48.10.1828