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

Abstract

Our objective is to 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 will develop Bayesian Network (BN) models to predict outcomes in CD and AP (death, surgeries, hospitalizations, etc). Once our model is developed we hope to apply our model at an outside institution, specifically University of Pittsburgh Medical Center (UPMC) who will be conducting a similar experiment, testing our model on their EMR.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2013
Accession Number
ADA588419

Entities

People

  • John D. Betteridge

Organizations

  • Walter Reed National Military Medical Center

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Cell Count
  • Computer Programs
  • Computers
  • Data Sets
  • Databases
  • Digital Data
  • Disease Attributes
  • Diseases And Disorders
  • Health Care
  • Health Services
  • Hospitalizations
  • Medical Personnel
  • Military Medicine
  • Pancreatitis
  • Patient Care
  • Predictive Modeling

Readers

  • Computational Modeling and Simulation
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • AI & ML
  • Microelectronics