Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Computer-aided diagnosis (CAD) systems have been used for characterization of several dermatologic diseases in the last few years. Psoriasis is a potentially life-threatening skin disease which affects 125 million people worldwide. The paper presents the first state-of-the-art review of technology solicitation in psoriasis along with its current practices, challenges and assessment techniques. The paper also conducts in-depth examination of the existing literature for all clinical parameters of Psoriasis Area and Severity Index (PASI) i.e., area, erythema, scaliness and thickness. We suggest a role of risk assessment using a decision support system for stratification of psoriasis in large populations. A balanced insight has been presented in all the components of the design, namely: feature extraction, feature selection, disease stratification and overall CAD performance evaluation. We conclude that CAD systems are promising for risk stratification and assessment of psoriasis.
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http://dx.doi.org/10.1016/j.compbiomed.2015.05.005 | DOI Listing |