Logistic regression and artificial neural network classification models: a methodology review
Stephan Dreiseitl, Lucila Ohno‐Machado
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- Logistic regression and artificial neural network classification models: a methodology re…→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→Classification and Regression Trees.Legacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→The Elements of Statistical Learning: Data Mining, Inference, and PredictionLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→Learning with KernelsLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→A method of comparing the areas under receiver operating characteristic curves derived fr…Legacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→Pattern Recognition and Neural NetworksLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→Bayesian Learning for Neural NetworksLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→Learning With Kernels: Support Vector Machines, Regularization, Optimization, and BeyondLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→Pattern ClassificationLegacy edge — source detail unavailable
- Logistic regression and artificial neural network classification models: a methodology re…→An Introduction to Support Vector Machines and Other Kernel‐based Learning MethodsLegacy edge — source detail unavailable
- Pattern Recognition and Neural Networks→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Pattern Recognition and Neural Networks→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction→Pattern Recognition and Neural NetworksLegacy edge — source detail unavailable
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
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Topics
| Machine Learning in Healthcare | Computer Science |
| Statistical and Computational Modeling | Computer Science |
| Artificial Intelligence in Healthcare | Health Professions |
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