• Automated Prediction of Hepatic Arterial Stenosis 

    Baraboo, Justin Jay Louis (University of Missouri--Kansas City, 2017)
    Several thousand life-saving liver transplants are performed each year. One of the causes of early transplant failure is arterial stenosis of the anastomotic junction. Early detection of transplant arterial stenosis ...
  • 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 ...
  • A data mining study of g-quadruplexes and their effect on DNA replication 

    Nichols, Gregory Shannon (University of Missouri--Kansas City, 2012-05-25)
    G-quadruplexes are guanine rich sequences of DNA that can form non-Watson-Crick four stranded structures. They have been found to exist in various regions of the genome and are believed to play a biological role. We ...
  • A Data mining study of ranking within social networks 

    Raghavan, Rama Devi (2014-08-27)
    Social networks have become very popular in the past few years and have become a significant part of our personal and professional lives. As the number of participants in social networks has grown, they have become a ...
  • Detection of Tubes in Radiographs Using Canny Edge Detection and Progressive Hough Transforms 

    Shipman, Anthony Reed (University of Missouri--Kansas City, 2016)
    An automated method for detecting tubes and catheters in chest radiographs could improve patient safety and healthcare efficiency by helping radiologists to more quickly and accurately identify mal-positioned tubes. We ...
  • A gestural human computer interface for Smart Health 

    Ginjupalli, Sowmya (University of Missouri--Kansas City, 2013-03-19)
    For centuries, man was forced to live a highly active lifestyle with food being a precious commodity. Technological advances in the past few decades have resulted in increasingly sedentary lifestyles and a surfeit of ...
  • A new constraint-based algorithm to learn Bayesian network structure from data: Control of Spurious Pairwise Information (CSPI) 

    Andrade, Pablo de Morais (University of Missouri--Kansas City, 2011-06-01)
    A Bayesian network is a directed acyclic graphical representation of a set of variables. This representation occupies the middle ground between a causal network and a simple list of pairwise correlations by including ...
  • 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 ...