Data Science Commons^™

Evolving Compact Decision Rule Sets, Robert E. Marmelstein

Theses and Dissertations

While data mining technology holds the promise of automatically extracting useful patterns (such as decision rules) from data, this potential has yet to be realized. One of the major technical impediments is that the current generation of data mining tools produce decision rule sets that are very accurate, but extremely complex and difficult to interpret. As a result, there is a clear need for methods that yield decision rule sets that are both accurate and compact. The development of the Genetic Rule and Classifier Construction Environment (GRaCCE) is proposed as an alternative to existing decision rule induction (DRI) algorithms. GRaCCE …

A New Model For Predicting Probabilities Of Viable Pregnancy And Multiple Gestations For I̲N̲ V̲I̲T̲R̲O̲ Fertilization, Ray Vernon Haning Jr.

Theses, Dissertations and Capstones

In vitro fertilization (IVF) can be viewed as high stakes gambling with more than one winning outcome and more than one outcome leading to failure. Knowing the odds of successful outcomes, the odds of outcomes leading to failure, and the various costs is a tremendous asset in any form of gambling. Four important variables have been reported to affect pregnancy rates in IVF programs: age of patient, number of unsuccessful prior attempts, embryo morphology, and number of embryos transferred.

While it is desirable to optimize pregnancy rates, such optimization may often result in a high incidence of multiple gestation. Data …

Predicting The Risk Of Obesity Using A Bayesian Network, Christopher C. Bunn, Min Du, Keyi Niu, Todd R. Johnson, Walker S. Poston, John P. Foreyt

Faculty, Staff and Student Publications

No abstract provided.

Intelligent Support Of Gait Analysis, Kathy A. Johnson, Sheldon R. Simon, Philip J. Smith, Jack W. Smith

Faculty, Staff and Student Publications

No abstract provided.

Web Browser Implements Unobtrusive Randomized Comparisons Of Instruction In Health Informatics Classroom, Craig W. Johnson

Faculty, Staff and Student Publications

No abstract provided.