Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes

This publication has 21 references indexed in Scilit:

• SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivation
  Nature Genetics, 2008
• A comparison of statistical and connectionist models for the prediction of chronicity in a surgical intensive care unit
  Critical Care Medicine, 1994
• Use of a Neural Network as a Predictive Instrument for Length of Stay in the Intensive Care Unit Following Cardiac Surgery
  Computers and Biomedical Research, 1993
• Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction
  Annals of Emergency Medicine, 1992
• Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables
  British Journal of Mathematical and Statistical Psychology, 1992
• Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
  Neural Computation, 1991
• Flexible regression models with cubic splines
  Statistics in Medicine, 1989
• Learning representations by back-propagating errors
  Nature, 1986
• Probabilistic prediction in patient management and clinical trials
  Statistics in Medicine, 1986
• Clinical Prediction Rules
  New England Journal of Medicine, 1985