Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks, Classification and Regression Trees, and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes

Deborah K. W. Walters, Richard T. Linn, Margaret Kulas, Elisabeth Cuddihy, Chonghua Wu, Carl V. Granger. Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks, Classification and Regression Trees, and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes. In AMIA 1999, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 6-10, 1999. AMIA, 1999. [doi]

@inproceedings{WaltersLKCWG99,
  title = {Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks, Classification and Regression Trees, and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes},
  author = {Deborah K. W. Walters and Richard T. Linn and Margaret Kulas and Elisabeth Cuddihy and Chonghua Wu and Carl V. Granger},
  year = {1999},
  url = {http://knowledge.amia.org/amia-55142-a1999a-1.591078/t-002-1.592771/f-001-1.592772/a-381-1.592817/a-382-1.592814},
  researchr = {https://researchr.org/publication/WaltersLKCWG99},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 1999, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 6-10, 1999},
  publisher = {AMIA},
}