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In this manuscript, we describe the DSE architecture and key functionalities, and examine its potential contributions to the signal management process by focusing on four use cases: the identification of missing cases from a case series, the identification of duplicate case reports, retrieving cases for a case series analysis, and community detection for signal identification and characterization.
Duplicate case reports were removed.
If there were inconsistencies in duplicate case reports the response was changed to 'Unknown'.
The case record with the most complete information was retained and missing information was filled in using the duplicate case report and death certificate data when available.
Local and state health departments share information such that changes of residence of cases within the state over time would not result in a duplicate case count.
Relevant data from the hospital patient file, with exclusion of personal identifiers, was directly transferred into two duplicate case report forms (CRF) for each patient by two different nurse technicians.
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The system has been identifying cases that potentially merit inclusion in the count at a rate of about 135 a month, according to officials, but this is likely to drop as more details are confirmed and duplicate cases are discounted.
The number of levels is considered as the optimum and is derived from observations while trying to get the minimum duplicate cases of the prosodic variations.
Cases with missing information for any key variable, duplicate cases, carcinomas in situ, and cases treated by community physicians independent of the hospital or ambulatory care center settings were excluded from the univariate analysis.
Assessments of duplicate cases occur both on the state and national level (potential duplicates are identified based on soundex code [a phonetic algorithm for indexing names by sound, as pronounced in English] and selected demographic characteristics), and elimination of such cases occurs at the state level.
Duplicate cases were eliminated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com