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Optimal prediction of mortality after abdominal aortic aneurysm repair with statistical models
Vassilis Georgiou Hadjianastassiou, MRCS, Leonardo Franco, PhD, Jose M. Jerez, PhD, Iordanis E. Evangelou, DPhil, David R. Goldhill, Paris P. Tekkis, Linda J. Hands Journal of Vascular Surgery Volume 43, Issue 3, Pages e3 (March 2006) DOI: /j.jvs Copyright © 2006 The Society for Vascular Surgery Terms and Conditions
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Fig 1 Calibration chart for the predictive models as applied to the validation set of observations. Bars represent the observed and predicted in-hospital percent mortality risk. Journal of Vascular Surgery , e3DOI: ( /j.jvs ) Copyright © 2006 The Society for Vascular Surgery Terms and Conditions
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Fig 2 Subgroup analysis by Chronic Health and operative urgency status for the predictive models (validation set). Error bars represent the 95% confidence interval of the in-hospital percent mortality risk. Journal of Vascular Surgery , e3DOI: ( /j.jvs ) Copyright © 2006 The Society for Vascular Surgery Terms and Conditions
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Appendix I Fig 1 Basic concepts of an Artificial Neural Network
Journal of Vascular Surgery , e3DOI: ( /j.jvs ) Copyright © 2006 The Society for Vascular Surgery Terms and Conditions
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Appendix IV Fig 2 Calibration chart for the predictive models as derived from the development set of observations. Bars represent the observed and predicted in-hospital % mortality risk. Journal of Vascular Surgery , e3DOI: ( /j.jvs ) Copyright © 2006 The Society for Vascular Surgery Terms and Conditions
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