Logistic regression and artificial neural network classification models: a methodology review
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- 1 October 2002
- journal article
- research article
- Published by Elsevier in Journal of Biomedical Informatics
- Vol. 35 (5-6) , 352-359
- https://doi.org/10.1016/s1532-0464(03)00034-0
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Support Vector Machines for Diagnosis of Breast Tumors on US ImagesAcademic Radiology, 2003
- Sensitivity analysis for minimization of input data dimension for feedforward neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Validity of prognostic models: When is a model clinically useful?Materials, 2002
- A review of evidence of health benefit from artificial neural networks in medical interventionNeural Networks, 2001
- A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin LesionsJournal of Biomedical Informatics, 2001
- On the misuses of artificial neural networks for prognostic and diagnostic classification in oncologyStatistics in Medicine, 2000
- What do we mean by validating a prognostic model?Statistics in Medicine, 2000
- A method of comparing the areas under receiver operating characteristic curves derived from the same cases.Radiology, 1983
- Estimating the Error Rate of a Prediction Rule: Improvement on Cross-ValidationJournal of the American Statistical Association, 1983
- The Relationship Between Variable Selection and Data Agumentation and a Method for PredictionTechnometrics, 1974