Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database

Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work was to develop a ML model to predict 30-day all-c...

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Gepubliceerd in:Medicine (Baltimore)
Hoofdauteurs: Jaotombo, Franck, Pauly, Vanessa, Auquier, Pascal, Orleans, Veronica, Boucekine, Mohamed, Fond, Guillaume, Ghattas, Badih, Boyer, Laurent
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Lippincott Williams & Wilkins 2020
Onderwerpen:
6600
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7717815/
https://ncbi.nlm.nih.gov/pubmed/33285668
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000022361
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