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Celiac disease risk estimation and decision-making expert system
Descriptive
TitleInfo
Title
Celiac disease risk estimation and decision-making expert system
Name
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Pastore
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Robert
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1969-
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Robert Pastore
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author
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Srinivasan
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Shankar
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Shankar Srinivasan
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Advisory Committee
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chair
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Mitrofanova
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Antonina
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Antonina Mitrofanova
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Advisory Committee
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internal member
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Coffman
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Fredrick
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Fredrick Coffman
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Advisory Committee
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internal member
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Rutgers University
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degree grantor
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School of Health Professions
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school
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Text
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theses
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2018
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2018-05
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2018
Place
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xx
Language
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eng
Abstract
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Background: Celiac disease is a genetic autoimmune disease affecting people of all ages that results in small intestine enteropathy and is caused by the permanent intolerance to gliadin and glutenin, two proteins found in gluten containing grains. Celiac disease is considered to be a clinical chameleon. The disease can also be asymptomatic. Average prevalence of celiac disease in the population is one out of 100 people with data indicating the risk may be as high as 22% for those with first-degree relatives that have the disease. Research suggests 83% of people with celiac disease may be undiagnosed and the average duration for diagnosis is 10 years. Data indicates there is a lack of consensus regarding methodology used to diagnose celiac disease and poor knowledge of associated diseases and symptomatology. A review of the literature determined a celiac disease risk estimation and decision-making expert system including signs, symptomatology, manifestations and associations, with serology and histology based on the Mayo Clinic algorithm, using Exsys Corvid Software, did not currently exist. Method: A new clinical decision support system (CDSS) was developed using Exsys Corvid for expert analysis. The CDSS was divided into symptoms and manifestations with 80 points of navigation, and a serology section, and was validated by 13 experts in the field of celiac disease using a 10 statement, 5-point Likert scale. Results: This scale was analyzed using Cronbach’s alpha reliability coefficient, which was calculated using SPSS. Cronbach’s alpha revealed good internal consistency and reliability with a result of 0.813. One-hundred percent of the experts agreed with the system and that the CDSS is capable of guiding a healthcare professional through the diagnostic process, contains an accurate list of symptoms based on the clinical literature, can foster improved awareness and education about celiac disease, and that there is a need for this system. Over 90% agreed the system is a good tool for training medical students or residents. Conclusion: A celiac disease risk estimation and decision-making expert system was successfully developed and evaluated by medical professionals, with 100% agreeing that this CDSS is medically accurate and can guide healthcare professionals through the diagnostic process.
Subject
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Topic
Biomedical Informatics
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Rutgers University Electronic Theses and Dissertations
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ETD_8915
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (x, 130 p. : ill.)
Note
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Ph.D.
Note
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Includes bibliographical references
Subject
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Topic
Celiac disease
Subject
(authority = ETD-LCSH)
Topic
Decision making
Note
(type = statement of responsibility)
by Robert Pastore
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Title
School of Health Professions ETD Collection
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rucore10007400001
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doi:10.7282/T39W0JT7
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ETD doctoral
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Rights
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The author owns the copyright to this work.
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Name
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Pastore
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Robert
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Permission or license
DateTime
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2018-04-18 12:07:34
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Robert Pastore
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Rutgers University. School of Health Professions
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2018-05-31
DateTime
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2018-11-30
Type
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Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2018.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2018-04-20T13:42:54
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2018-04-20T13:42:54
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