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Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data.

, , , , , , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 348-349. IOS Press, (2023)

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Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data., , , , , , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 348-349. IOS Press, (2023)A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients., , , , , , , , , and 40 other author(s). CoRR, (2021)Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands., , , , , , , , , and . Int. J. Medical Informatics, (2022)How to Assist Intensive Care Units in Improving Healthcare Quality. Development of Actionable Quality Indicators on Blood use., , , , and . MIE, volume 210 of Studies in Health Technology and Informatics, page 429-433. IOS Press, (2015)Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records., , , , , , , , , and 39 other author(s). Int. J. Medical Informatics, (2022)Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model., , , , , , , and . AMIA, AMIA, (2022)