Framework for Smart Electronic Health Record- Linked Predictive Models to Optimize Care for Complex Digestive Diseases

Abstract

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 Crohn's 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.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2015
Accession Number
ADA614941

Entities

People

  • John D. Betteridge

Organizations

  • Henry M. Jackson Foundation for the Advancement of Military Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Bayesian Networks
  • Computer Programming
  • Computers
  • Data Mining
  • Data Sets
  • Databases
  • Disease Attributes
  • Diseases And Disorders
  • Embolism And Thrombosis
  • Health Services
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Military Medicine
  • Mood Disorders
  • Predictive Modeling
  • Surgery

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.

Technology Areas

  • AI & ML
  • Microelectronics