Adaptation of Predictive Models to PDA Hand-Held Devices
General Material Designation
[Article]
First Statement of Responsibility
Lin, MD, MPH, Edward J; Purcell, MD, Thomas B; McPheeters, DO, Rick A
SUMMARY OR ABSTRACT
Text of Note
Prediction models using multiple logistic regression are appearing with increasing frequency in the medical literature. Problems associated with these models include the complexity of computations when applied in their pure form, and lack of availability at the bedside. Personal digital assistant (PDA) hand-held devices equipped with spreadsheet software offer the clinician a readily available and easily applied means of applying predictive models at the bedside. The purposes of this article are to briefly review regression as a means of creating predictive models and to describe a method of choosing and adapting logistic regression models to emergency department (ED) clinical practice.
SET
Date of Publication
2008
Title
Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health
Volume Number
9/1
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Lin, MD, MPH, Edward J; Purcell, MD, Thomas B; McPheeters, DO, Rick A