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
Autocategorization is a new technique appropriate for studies involving relative frequencies of illness diagnoses using the International Classification of Diseases. It is ideally suited for emergency department illness patterns. The technique uses the standard chi-square statistical test, but is novel in objectively determining the aggregation of diseases into categories for analysis. The numbers of observed occurrences of the various diseases are used. without applying any a priori judgements, to decide whether a disease should be analyzed alone, or aggregated with others. This technique, because it is based on the ICDA code, will permit comparisons between various studies while retaining the statistical validity of the individual studies.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/s0361-1124(78)80384-0 | DOI Listing |
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