WebMay 11, 2024 · Predictive models of readmission that address the multifactorial nature of readmissions and heterogeneity of the disease are reviewed, recognising that in an era of precision medicine, in-depth understanding of the intricate biological mechanisms that heighten the risk of COPD exacerbation and re-exacerbation is needed to derive … Webwith readmission, and universal prediction model for readmission might not be achievable39. In this study, the overall accuracy is 73.7%, and AUC value of 0.7506.
JVD Free Full-Text A Predictive Model of Early Readmission for ...
WebMay 20, 2024 · Mejia et al. concluded that the lack of a valid and scientific model for predicting readmission of COVID-19 patients influences the higher mortality due to disease recurrence . Afrash et al. suggested the ML-based predictive models as useful for managing limited healthcare resources during the COVID-19 pandemic . WebApr 11, 2024 · Predictive models have been suggested as potential tools for identifying highest risk patients for hospital readmissions, in order to improve care coordination and … hen f x –3 what is x –29 –10 –3 –1
Risk Prediction Models for Hospital Readmission: A Systematic …
WebNov 25, 2024 · Background There is little consensus on how to sample hospitalizations and analyze multiple variables to model readmission risk. The purpose of this study was to … WebFor predicting all-cause readmission, model discrimination (C statistic) ranged from 0.59 to 0.77 (median, 0.63). The CMS Pneumonia Administrative Model, which was the most commonly tested risk prediction model, consistently had a C statistic of 0.63 in four separate cohorts (12, 15). http://www.ihis.com.sg/healthai/Pages/MultipleReadmissionsPredictiveModels.aspx henfwlch road carmarthen