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Medical Informatics applied in psoriasis diagnosis and management

Medical Informatics applied in psoriasis diagnosis and management Abstract Psoriasis represents a chronic disease, with a prevalence of 0.91% to 8.5% worldwide. The clinical manifestations of the disease vary a lot from patient to patient and the response to treatment also varies a lot. Today, in spite of the drawbacks it has, PASI (Psoriasis Area Severity Index) represents one of the best tools used to evaluate the extent of the disease and the response to medication. One of the drawbacks of using this scoring system is considered to be the way a doctor has to calculate the result. In this study we offer, step by step, a possible solution to create an informatics tool that can offer the result of the score based on the inputs made by the doctor. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ARS Medica Tomitana de Gruyter

Medical Informatics applied in psoriasis diagnosis and management

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Publisher
de Gruyter
Copyright
Copyright © 2016 by the
ISSN
1841-4036
eISSN
1841-4036
DOI
10.1515/arsm-2016-0011
Publisher site
See Article on Publisher Site

Abstract

Abstract Psoriasis represents a chronic disease, with a prevalence of 0.91% to 8.5% worldwide. The clinical manifestations of the disease vary a lot from patient to patient and the response to treatment also varies a lot. Today, in spite of the drawbacks it has, PASI (Psoriasis Area Severity Index) represents one of the best tools used to evaluate the extent of the disease and the response to medication. One of the drawbacks of using this scoring system is considered to be the way a doctor has to calculate the result. In this study we offer, step by step, a possible solution to create an informatics tool that can offer the result of the score based on the inputs made by the doctor.

Journal

ARS Medica Tomitanade Gruyter

Published: May 1, 2016

References