Roelen et al., 2013 - Google Patents

The development and validation of two prediction models to identify employees at risk of high sickness absence

Roelen et al., 2013

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Document ID
9392731202698445084
Author
Roelen C
Van Rhenen W
Groothoff J
Van Der Klink J
Bültmann U
Heymans M
Publication year
Publication venue
The European Journal of Public Health

External Links

Snippet

Background: Sickness absence (SA) is a public health risk marker for morbidity and mortality. The aim of this study was to develop and validate prediction models to identify employees at risk of high SA. Methods: Two prediction models were developed using self …
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Classifications

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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Health care, e.g. hospitals; Social work
    • G06Q50/24—Patient record management
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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance, e.g. risk analysis or pensions

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