Simulated neural networks to predict outcomes, costs, and length of stay among orthopedic rehabilitation patients
- 31 October 1994
- journal article
- Published by Elsevier in Archives of Physical Medicine and Rehabilitation
- Vol. 75 (10), 1077-1081
- https://doi.org/10.1016/0003-9993(94)90081-7
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Applying quantitative methods to the prediction of full functional recovery in adult rehabilitation patientsArchives of Physical Medicine and Rehabilitation, 1993
- Functional Status Outcomes in RehabilitationMedical Care, 1993
- Use of an Artificial Neural Network for the Diagnosis of Myocardial InfarctionAnnals of Internal Medicine, 1991
- Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary OcclusionNeural Computation, 1990
- Predictors of Functional Recovery One Year Following Hospital Discharge for Hip Fracture: A Prospective StudyJournal of Gerontology, 1990
- Predicting Long-term Outcome among Post-rehabilitation Stroke PatientsAmerican Journal of Physical Medicine & Rehabilitation, 1988
- Multivariate Analysis of Improvement and Outcome Following Stroke RehabilitationArchives of Neurology, 1987
- Judgment of covariation by social perceivers.Psychological Bulletin, 1981
- The robust beauty of improper linear models in decision making.American Psychologist, 1979
- On the psychology of prediction.Psychological Review, 1973