Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
The automation and systemisation of the next generation of cognitive assessment approaches have the potential to change how clinicians assess and interact with patients. This may be especially pertinent in the case of delirium, as current methods often rely on the subjective opinion of clinicians and specialists, with potential for the condition to be overlooked or misdiagnosed. Currently, one of the most commonly used tests, is the clock-drawing test, which has relatively wide appeal as a cognitive screening instrument due to its clinical utility and psychometric properties. However, there are a number of inconsistencies associated with its use and interpretation. In this paper, we describe a new assessment methodology that we have developed, facilitated by the advances in tablet technology. In trials, our "Letter and Shape Drawing (LSD)" tool, involving both an automated scoring capability and a simpler user interaction, has demonstrated correlation with other conventional cognitive test methods although some optimisation requirements remain.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1109/EMBC.2016.7591195 | DOI Listing |
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