A multistage screening model for evaluation and control of missclassification error in the detection of hypertension.
Hypertension is one of the most important risk factors with respect to coronary heart disease and stroke.
The benefits of early detection of hypertension and the subsequent design of follow-up treatment programs are well documented.
Consequently, screening programs have been designed to identify subjects as normotensive (normal) or hypertensive (abnormal).
In order for these programs to be effective, full participation of the subject population is required.
However, such classification programs can incur massive risks of incorrectly classifying subjects as normotensive who are truly hypertensive and incorrectly classifying subjects as hypertensive who are truly normotensive.
To date, the only means to reduce these risks of misclassification is to require subjects to make numerous visits for blood pressure measurement before they can be classified.
Mots-clés Pascal : Hypertension artérielle, Erreur, Programme sanitaire, Dépistage, Appareil circulatoire pathologie, Génie biomédical, Classification, Malade, Homme, Evaluation, Modèle mathématique, Etude statistique, Epidémiologie
Mots-clés Pascal anglais : Hypertension, Error, Sanitary program, Medical screening, Cardiovascular disease, Biomedical engineering, Classification, Patient, Human, Evaluation, Mathematical model, Statistical study, Epidemiology
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0432303
Code Inist : 002B12B05B. Création : 199406.