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Prototype OF Intelligence Clinical Decision Support System (ICDSS)

Yuan Lin, Brian Keltch Class Project CPSC 7311 Software Engineering Dr. Bayrak, Professor University of Arkansas at Little Rock. Prototype OF Intelligence Clinical Decision Support System (ICDSS). Summary.

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Prototype OF Intelligence Clinical Decision Support System (ICDSS)

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  1. Yuan Lin, Brian Keltch Class Project CPSC 7311 Software Engineering Dr. Bayrak, Professor University of Arkansas at Little Rock Prototype OF Intelligence Clinical Decision Support System (ICDSS)

  2. Summary • Develop a prototype web site that support & demonstrates AI Supported Clinical Decision • Develop Models for Decision and Prediction – Decision Tree and Neural Networks • Case study: Non-Invasive Prediction of Fibrosis Stage in Hepatitis Patients who have Liver Biopsy

  3. Method • Use Standard Lab Test – No special Blood Work or Equipment • Explore multiple AI methods (Decision Tree & Neural Networks) to improve accuracy • Simple Interface to visualize results • Developed in ASP.Net (VB) utilizing Visual Studio 2008. Required for Imagine Cup entry. • Validate Results with Clinical Physicians

  4. Input Parameter and Predicted Parameter

  5. Decision Tree Partial Output The whole tree has 165 nodes and 83 leaves.

  6. Neural Network Test Runs

  7. Next Steps • Expand Data Histories for Analyses with UAMS Partners • Evolve Prototype • Data Driven, Hosting • Validate with Clinical Physicians • Compare/Contrast with Commercial Products • Co-Opt Not For Profit Sponsor • Add Logistic Regression • Add Genetic Algorithm

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