Essential hypertension: an approach to clinical data by the use of models. | Zendy

N P Chau | Zendy; Michel E. Safar | Zendy; Gérard M. London | Zendy; Y Weiss | Zendy

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Essential hypertension: an approach to clinical data by the use of models.

Author(s) -

N P Chau,

Michel E. Safar,

Gérard M. London,

Y Weiss

Publication year - 1979

Publication title -

hypertension

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.986

H-Index - 265

eISSN - 1524-4563

pISSN - 0194-911X

DOI - 10.1161/01.hyp.1.2.86

Subject(s) - essential hypertension , set (abstract data type) , interpretation (philosophy) , medicine , data set , animal model , intensive care medicine , computer science , blood pressure , artificial intelligence , programming language

A new approach, based on animal circulatory models, was proposed for the study of clinical data in hypertension. Clinical data were identified with steady states in models. From the study of models, possible impairments, susceptible to account for the observed derivations of steady states in men, were analyzed. To be specific, the 1967-Guyton-Coleman model was confronted with a set of data on essential hypertension. The approach afforded a physiological interpretation for statistical results performed on clinical data.

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