Choosing a model to predict hospital admission: an observational study of new variants of predictive models for case finding

@inproceedings{Billings2013ChoosingAM,
  title={Choosing a model to predict hospital admission: an observational study of new variants of predictive models for case finding},
  author={John Billings and Theo Georghiou and Ian Blunt and Martin Bardsley},
  booktitle={BMJ open},
  year={2013}
}
OBJECTIVES To test the performance of new variants of models to identify people at risk of an emergency hospital admission. We compared (1) the impact of using alternative data sources (hospital inpatient, A&E, outpatient and general practitioner (GP) electronic medical records) (2) the effects of local calibration on the performance of the models and (3) the choice of population denominators. DESIGN Multivariate logistic regressions using person-level data adding each data set sequentially… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 36 times over the past 90 days. VIEW TWEETS

From This Paper

Topics from this paper.
23 Citations
8 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 23 extracted citations

Similar Papers

Loading similar papers…