Browsing by Author "Speedie, Stuart"
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Item Exploration of Classification Techniques as a Treatment Decision Support Tool for Patients with Uterine Fibroids(2010-04-16) Campbell, Kevin; Thygeson, Marcus N.; Srivastava, Jaideep; Speedie, StuartUterine fibroids are benign growths in the uterus, for which there are several possible treatment options. Patients and physicians generally approach the decision process based on a combination of the patient's degree of discomfort, patient preferences, and physician practice patterns. In this paper, we examine the use of classification algorithms in combination with meta-learning algorithms as a decision support tool to facilitate more systematic fibroid treatment decisions. A model constructed from both Naive Bayes (with Adaboost) and J48 (with bagging) algorithms gave the best results and could be a useful tool to patients making this decision.Item Interview with Stuart Speedie(2015-01-29) Speedie, Stuart; Tobbell, DominiqueStuart Speedie begins by discussing his educational background and his early career spent first at the Northwest Regional Educational Laboratory in Portland, Oregon, and then at the University of Maryland School of Pharmacy where he served as Director of Education. He discusses his early interest in information systems and technology and his five-year NSF-funded research project on the development of expert systems on the appropriate use of drugs in hospital settings, which he developed during a sabbatical year at Stanford University. He describes his responsibilities disseminating information technology at the University of Maryland and the information systems research he conducted there. Next he discusses his move to the University of Minnesota, his appointment in the Division of Health Computer Sciences and in the office of the Provost of the Academic Health Center, and his role on the Provost’s Reengineering Task Force on Information Technology. He discusses his role within the Division of Health Computer Sciences (subsequently renamed the Division of Health Informatics); his work in telehealth and telemedicine; and his collaboration with Stanley Finkelstein on the use of telehealth technologies in homecare. He next discusses the NLM Research Training in Medical Informatics program. He describes the efforts to establish the terminal Masters in Health Informatics; the influence of different directors—Laël Gatewood, Donald Connelly, Julie Jacko—on the Division and later, the Institute for Health Informatics; his collaborations with Donald Connelly on the impact of health information exchange on patients and hospital emergency departments; the influence of Connie Delaney’s appointment to the Institute for Health Informatics; and the Division and Institute’s long-term relationship with the Mayo Clinic.