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VirtualMindTrial: An intelligent que...

Katakam, Nikhilesh.

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VirtualMindTrial: An intelligent questionnaire system for clinical trial recruitment.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	VirtualMindTrial: An intelligent questionnaire system for clinical trial recruitment./
Author:	Katakam, Nikhilesh.
Description:	95 p.
Notes:	Source: Masters Abstracts International, Volume: 49-03, page: 1870.
Contained By:	Masters Abstracts International49-03.
Subject:	Health Sciences, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1484146
ISBN:	9781124408033

VirtualMindTrial: An intelligent questionnaire system for clinical trial recruitment.
Katakam, Nikhilesh.

VirtualMindTrial: An intelligent questionnaire system for clinical trial recruitment. - 95 p.

Source: Masters Abstracts International, Volume: 49-03, page: 1870.

Thesis (M.S.)--University of Missouri - Kansas City, 2011.

The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. Volunteers are subjected to an elaborate questionnaire process in current recruitment methodologies. Although the questionnaire process is extremely important in clinical trial recruitment, it is inefficient due to redundancy and lack of a systematic approach. Ideally, questionnaire generation and implementation must be guided by intelligent heuristics that minimize redundancy and inconsistency.

ISBN: 9781124408033Subjects--Topical Terms:

1017817
Health Sciences, General.

VirtualMindTrial: An intelligent questionnaire system for clinical trial recruitment.
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020 $a 9781124408033
035 $a (UMI)AAI1484146
035 $a AAI1484146
040 $a UMI $c UMI
100 1 $a Katakam, Nikhilesh. $3 1682337
245 1 0 $a VirtualMindTrial: An intelligent questionnaire system for clinical trial recruitment.
300 $a 95 p.
500 $a Source: Masters Abstracts International, Volume: 49-03, page: 1870.
500 $a Adviser: Yugyung Lee.
502 $a Thesis (M.S.)--University of Missouri - Kansas City, 2011.
520 $a The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. Volunteers are subjected to an elaborate questionnaire process in current recruitment methodologies. Although the questionnaire process is extremely important in clinical trial recruitment, it is inefficient due to redundancy and lack of a systematic approach. Ideally, questionnaire generation and implementation must be guided by intelligent heuristics that minimize redundancy and inconsistency.
520 $a In this thesis, an intelligent approach to questionnaire flow called VirtualMindTrial is proposed. Given a set of textual inclusion/exclusion clinical trial eligibility criteria and data available from diverse sources such as Microsoft HealthVault, VirtualMindTrial is able to (1) filter known criteria, (2) add associative criteria based on selected criteria, (3) form a neighborhood of patients who satisfy similar criteria, and (4) generate a dynamic questionnaire flow for screening patients. The questionnaire has been implemented using a visual 3-D environment to help volunteer subjects experience a realistic screening process. Experimental results demonstrate the effectiveness of our system in terms of dynamic questionnaire flow generation and in enhancing the user experience with virtual worlds. A visual prototype system has been developed as part of the thesis to illustrate the enhanced efficiency and quality of screening patients with psychiatric disorders for clinical research.
590 $a School code: 0134.
650 4 $a Health Sciences, General. $3 1017817
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Computer Science. $3 626642
690 $a 0566
690 $a 0715
690 $a 0984
710 2 $a University of Missouri - Kansas City. $b Computer Science. $3 1680874
773 0 $t Masters Abstracts International $g 49-03.
790 1 0 $a Lee, Yugyung, $e advisor
790 1 0 $a Deendayal, Dinakarpandian $e committee member
790 1 0 $a Rao, Praveen $e committee member
790 1 0 $a Owens, Dennis P. $e committee member
790 $a 0134
791 $a M.S.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1484146