… of capacities, including imaging analysis and prediction in large epidemiological data sets. …
based clinical prognostic models relative to conventional statistical prediction models. Finally, …

… cord injury (SCI) and to help classify patients within clinical trials, we have created a novel
prediction model … A linear regression model was created with the primary outcome modeled …

… We distinguished between three phases of predictor selection during prediction model
development: (1) initial selection of predictors, (2) predictor selection for inclusion in modelling, …

… arrival, severe head injury, Injury Severity Score, and neurological severity of spinal cord
injury were independently associated with mortality. A predictive model including these factors …

… cord injury (SCI), the objective in the current study was to characterize and quantify acute
inpatient complications. In addition, the authors sought to create a prediction model … Cord Injury …

… Models for predicting recovery in traumatic spinal cord injury (tSCI) patients have been
developed to optimize care. Several models predicting tSCI recovery have been previously …

… The Hosmer-Lemeshow goodness of fit test was used to check if the predictive model is …
[5], we wanted to evaluate its effectiveness for the prediction model currently under study. …

… The goals of the study were to develop a prediction model to synthesize the information
available in the EHR and identify veterans at the highest risk thereby allowing clinicians to better …

… sets) in the in prediction of ambulation at hospital discharge following spinal cord injury. We
used the multi-center Spinal Cord Injury Model System database. All modelsperformed well …

… Comparison of multiple prediction models for ambulation following spinal cord injury. In:
Proceedings of the AMIA Symposium; American Medical Informatics Association; 1998 Nov 7-11…