• A data driven semantic framework for clinical trial eligibility criteria 

    Krishnamoorthy, Saranya (University of Missouri--Kansas City, 2012-01-17)
    An important step in the discovery of new treatments for medical conditions is the matching of potential subjects with appropriate clinical trials. Eligibility criteria for clinical trials are typically specified in free ...
  • Ontology-based methods for disease similarity estimation and drug repositioning 

    Mathur, Sachin (University of Missouri--Kansas City, 2012-10-02)
    Human genome sequencing and new biological data generation techniques have provided an opportunity to uncover mechanisms in human disease. Using gene-disease data, recent research has increasingly shown that many seemingly ...
  • Pseudo Random Forests for Tube Identification 

    Bingham, Kendall Lee (2015)
    Random forests are widely used in machine learning as they can potentially offer higher accuracy than individual decision trees by the averaging of multiple independent models. We propose a modification called “Pseudo-random ...