reviewTop 10% cited
Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
Journal of Clinical Epidemiology · 1996 · Vol. 49(11) · pp. 1225–1231
Jack V. Tu✉(Institute for Clinical Evaluative Sciences)
Neural Networks and ApplicationsStatistical and Computational ModelingHydrological Forecasting Using AIOverfittingArtificial neural networkLogistic regressionMachine learningComputer scienceArtificial intelligenceRegressionStatistical modelRegression analysisStatistics
MeSH terms
AlgorithmsHumansPrognosisLogistic ModelsNeural Networks, ComputerTreatment Outcome
Citations
1,817
FWCI
9.75
field-weighted impact
References
44
Percentile
98%
vs. same field & year
Citations per year
Cited by
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References
Learning representations by back-propagating errors
Nature · 1986 · 30,045 citations
Classification and Regression Trees.
Biometrics · 1984 · 23,850 citations
Applied logistic regression
Choice Reviews Online · 1990 · 35,647 citations
Neural Network Classifiers Estimate Bayesian <i>a posteriori</i> Probabilities
Neural Computation · 1991 · 988 citations
Learning in Artificial Neural Networks: A Statistical Perspective
Neural Computation · 1989 · 920 citations
Flexible regression models with cubic splines
Statistics in Medicine · 1989 · 2,667 citations
Introduction to artificial neural systems
Neurocomputing · 1992 · 2,011 citations
Classification and Regression Trees.
Journal of the American Statistical Association · 1986 · 21,013 citations
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