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Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan

Gojiro Nakagami, Shinichiroh Yokota, Aya Kitamura, Toshiaki Takahashi, Kojiro Morita, Hiroshi Noguchi, Kazuhiko Ohe, Hiromi Sanada

2021International Journal of Nursing Studies50 citationsDOI

Topics & Concepts

Receiver operating characteristicMedicineRetrospective cohort studyRandom forestLogistic regressionObservational studyHealth recordsPredictive validityMedical recordEmergency medicineClinical decision support systemMachine learningRisk assessmentArtificial intelligencePhysical therapyComputer scienceHealth careInternal medicineDecision support systemEconomicsClinical psychologyEconomic growthComputer securityPressure Ulcer Prevention and ManagementSurgical site infection preventionInfection Control in Healthcare
Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan | Litcius