[Predicting the risk of becoming eligible for the disability pension: Machine learning methods applied to French health data].

Journal: Sante publique (Vandoeuvre-les-Nancy, France)
PMID: 38388403

Abstract

INTRODUCTION: Benefiting from the disability pension implies morbid (physical and psychological) and social (fall in income) implications for the person. It also has economic consequences for society, with increasing expenses since 2011 (+4.9% on average per year). Investing in preventive actions against the loss of the ability to work should limit these consequences, but it requires targeting people at risk. The development of artificial intelligence opens up prospects in this regard.

Authors

  • Corinne Mette
    Direction de la stratégie, des études et des statistiques, Caisse nationale de l’Assurance maladie, Paris, France
  • Dorian Verboux
    Direction de la stratégie, des études et des statistiques, Caisse nationale de l’Assurance maladie, Paris, France
  • Antoine Rachas
    Direction de la stratégie, des études et des statistiques, Caisse nationale de l’Assurance maladie, Paris, France
  • Gonzague Debeugny
    Direction de la stratégie, des études et des statistiques, Caisse nationale de l’Assurance maladie, Paris, France

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