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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
To increase the efficacy of electrocardiographic diagnosis of ischaemic heart disease (IHD), the authors searched for new ECG parameters using the method of precordial mapping and computer map analysis. The study was made in a group of 95 IHD patients, with diagnosis confirmed with the use of visual methods (coronary angiography and left ventriculography). On 12-lead ECG, the signs of focal cicatrization were found in none of examined patients, and ischaemic changes were present in 23% only. 98 practically healthy people were used as controls. With the aid of mathematical methods including the step-wise discriminant analysis, a classificatory function was construed enabling to increase the sensitivity of IHD diagnosis to 83% at an 85 percent specificity.
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