Framework for Smart Electronic Health Record- Linked Predictive Models to Optimize Care for Complex Digestive Diseases
Final rept. 1 Jul 2011-30 Jun 2014
HENRY M JACKSON FOUNDATION FOR THE ADVANCEMENT OF MILITARY MEDICINE ROCKVILLE MD
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We utilize de identified database constructed from the world-wide Military Electronic medical record for datasets constructed for clinical purposes and not research specific to patients with Crohns disease CD and acute pancreatitis AP. Using the collected data we developed Bayesian Network BN models which successfully predicted outcomes in CD and AP. We shared our model with the University of Pittsburgh Medical Center UPMC to confirm our modeling utilizing a different data set. UPMC also successfully predicted similar but not completely matching outcomes with their data set using the Bayesian Network Modeling.
- Medicine and Medical Research
- Statistics and Probability