Service: Predicting sick leave duration

Responsible organisation: NAV (Central-Government)

Predicting sick leave duration: The Norwegian Labour and Welfare Service aim to advice case workers working with people on sick leave on which cases to follow up more closely and which cases that needs less attention. The advice is a prediction of remaining duration of the current sick leave. The prediction will be a part of the information available for the case worker when deciding to call for a dialogue meeting between the actors involved in the sick leave. The solution uses the random forest algorithm in order to aid explanability, the output is explained using shapley values.

Additional information

Source Open Innovation Regione Lombardia
Web site https://nav.no https://www.jstor.org/stable/40967545
Start/end date 2021 -
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