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Adaptation of Predictive Models to PDA Hand-Held Devices

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.

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WestJEM/ Department of Emergency Medicine
UC Irvine Health

3800 W Chapman Ave Ste 3200
Orange, CA 92868, USA
Phone: 1-714-456-6389
Email: editor@westjem.org

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WestJEM
ISSN: 1936-900X
e-ISSN: 1936-9018

CPC-EM
ISSN: 2474-252X

Our Philosophy

Emergency Medicine is a specialty which closely reflects societal challenges and consequences of public policy decisions. The emergency department specifically deals with social injustice, health and economic disparities, violence, substance abuse, and disaster preparedness and response. This journal focuses on how emergency care affects the health of the community and population, and conversely, how these societal challenges affect the composition of the patient population who seek care in the emergency department. The development of better systems to provide emergency care, including technology solutions, is critical to enhancing population health.