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Predictive risk score for unplanned 30-day rehospitalizations in the French universal health care system based on a medico-administrative database.

Vanessa PaulyHélène MendizabalStéphanie GentilePascal AuquierLaurent Boyer
Published in: PloS one (2019)
Our findings indicate that the possibility of unplanned rehospitalization remains high for some patient characteristics, indicating that targeted interventions could be beneficial for patients at the greatest risk. We developed an easy-to-use predictive rehospitalization risk-score of unplanned 30-day all-cause rehospitalizations with satisfactory discriminant properties. Future works should, however, explore if other data from electronic medical records and other databases could improve the accuracy of our predictive rehospitalization risk score based on medico-administrative data.
Keyphrases
  • big data
  • electronic health record
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  • machine learning
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