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Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes

Abstract : This study proposes the use of Bayesian Networks for the prediction of unfavorable health events, and more especially pressure ulcers, in nursing homes. From a database of electronic medical records, we learn an explainable and relevant classifier, which performs better than the scores currently used in nursing homes.
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https://hal.sorbonne-universite.fr/hal-03689291
Contributor : Clara Charon Connect in order to contact the contributor
Submitted on : Tuesday, June 7, 2022 - 9:53:34 AM
Last modification on : Wednesday, June 8, 2022 - 9:47:06 AM

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Clara Charon, Pierre-Henri Wuillemin, Joël Belmin. Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes. Challenges of Trustable AI and Added-Value on Health, 294, IOS Press, pp.147 - 148, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220423⟩. ⟨hal-03689291⟩

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