PREDICTING HOSPITAL ADMISSIONS FROM INDIVIDUAL PATIENT DATA (IPD): AN APPLIED EXAMPLE TO EXPLORE KEY ELEMENTS DRIVING EXTERNAL VALIDITY

Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity

Objective To explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex older general practice patients.Study design Horse Licks and setting Using individual participant data from four cluster-randomised trials conducted in the Netherlands and G

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Disease Risk Forecasting with Bayesian Learning Networks: Application to Grape Powdery Mildew (Erysiphe necator) in Vineyards

Powdery mildew (Erysiphe necator) is a fungal disease causing significant loss of grape yield in commercial vineyards.The rate of development of this disease varies annually and is driven by complex interactions between the pathogen, its host, and environmental conditions.The long term impacts of weather and climate variability on disease developme

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