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Results for “diagnostic model”

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At least 55 records · Page 3Linked to original sources
PubMed1990

Derivation and validation of a clinical diagnostic model for chlamydial cervical infection in university women.

We developed and prospectively tested a logistic regression model for chlamydial cervical infection. Study subjects included 2271 women receiving gynecologic care in our student health clinic. Clinical data were collected in a standardized fashion. We identified cell culture--isolated Chlamydia trachomatis from 133 (9%) of 1458 subjects in the derivation set and 73 (10%) of 729 subjects in the validation set. Model variables included a new sexual partner within 2 months or more than one sexual partner within 6 months; cervical ectopy; cervical friability; at least 20 polymorphonuclear leukocytes per high-power field in cervical secretions; white blood cells in vaginal secretions; and use of an antibiotic active against C trachomatis within a month. This model can distinguish women with low, medium, and high risks of chlamydial infection (on derivation set: receiver operating characteristic curve area, 0.710; SE, 0.026; on validation set: area, 0.698; SE, 0.035) using simple clinical information obtained in the office.

Adolescent↗
PubMedDate not supplied

Modification of the diagnostic content validity model.

Diagnostic content validation of nursing diagnoses is a recommended means to confirm the defining characteristics necessary to establish a specific nursing diagnosis. The diagnostic content validity model has been used in numerous studies to develop lists of major and minor defining characteristics recommended by experts as being present in patients with specific diagnoses. The authors provide an overview of the diagnostic content validity model, review the meaning and purposes of content validity, discuss problems with information processing, and suggest revisions to the diagnostic content validity model. Incorporation of these changes may improve the usability of nursing diagnoses in clinical practice, education, and research.

Humans↗
PubMed2006

Four ontological models for radiological diagnostics.

In this paper we isolate four diagnostic models in radiology and define a set of diagnostic relations corresponding to each clinical situation. To achieve this, we describe a set of general formal ontological notions, as well as the ontological model of the imaging domain we employed in our analysis. On the basis of our results, we conclude that these diagnostic models and the relations contained therein could be applied to diagnostic situations outside of radiology as well.

Germany↗