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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Bibliographic Details

Published in:	JMIR formative research Vol. 4; no. 8; p. e16422
Main Authors:	Bao, Hongchang, Baker, Christopher J O, Adisesh, Anil
Format:	Journal Article
Language:	English
Published:	Toronto JMIR Publications 01.08.2020
Subjects:	Accuracy Algorithms Automation Classification Codes Datasets Employment Job titles Machine learning Methods Original Paper United States > US
ISSN:	2561-326X, 2561-326X
Online Access:	Get full text
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