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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Vydáno v:	JMIR formative research Ročník 4; číslo 8; s. e16422
Hlavní autoři:	Bao, Hongchang, Baker, Christopher J O, Adisesh, Anil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Toronto JMIR Publications 01.08.2020
Témata:	Accuracy Algorithms Automation Classification Codes Datasets Employment Job titles Machine learning Methods Original Paper United States > US
ISSN:	2561-326X, 2561-326X
On-line přístup:	Získat plný text
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