Occupation Coding of Job Titles: Iterative Development of an Automated Coding Algorithm for the Canadian National Occupation Classification (ACA-NOC)

Background: In many research studies, the identification of social determinants is an important activity, in particular, information about occupations is frequently added to existing patient data. Such information is usually solicited during interviews with open-ended questions such as “What is your...

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Veröffentlicht in:	JMIR formative research Jg. 4; H. 8; S. e16422
Hauptverfasser:	Bao, Hongchang, Baker, Christopher J O, Adisesh, Anil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Toronto JMIR Publications 01.08.2020
Schlagworte:	Accuracy Algorithms Automation Classification Codes Datasets Employment Job titles Machine learning Methods Original Paper United States > US
ISSN:	2561-326X, 2561-326X
Online-Zugang:	Volltext
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