The Resource Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas, by Gerald L. Arthur, (electronic resource)
Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas, by Gerald L. Arthur, (electronic resource)
Resource Information
The item Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas, by Gerald L. Arthur, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from all library branches.
Resource Information
The item Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas, by Gerald L. Arthur, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from all library branches.
- Summary
- Integrating the massive amount of new genomic information into medical practice will require new approaches to knowledge management. This need is particularly acute in surgical pathology where the evaluation of diagnostic tissue sections now requires assessment of the location and staining intensity for a wide range of proteins that are identified through the use of labeled antibodies. The possible combinations of visual features that may be observed threaten to exceed the limits of the human intellect. Research was undertaken to construct a knowledge-based decision support system for this task. An algorithm written in MATLAB® and employing fuzzy logic was designed to interpret the staining results of eight antibodies that are used to classify lymphoid tumors. Testing with all possible combinations of antibody results (256) was consistent with the expected diagnoses. It appears that this method may be helpful in solving the information overload problem and may significantly improve the accuracy and consistency of disease diagnoses
- Language
- eng
- Note
-
- The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file
- Thesis Advisor: Yang Gong
- "May 2009"
- Label
- Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas
- Title
- Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas
- Statement of responsibility
- by Gerald L. Arthur
- Subject
-
- Decision Support Systems, Clinical
- Decision support systems
- Diagnosis, Computer-Assisted -- methods
- Dissertations, Academic -- University of Missouri--Columbia -- Health informatics
- Electronic books
- Electronic bookss
- Electronic dissertations
- Fuzzy Logic
- Fuzzy logic
- Information Storage and Retrieval -- methods
- Information storage and retrieval systems
- Lymphocytes
- Lymphoma, B-Cell -- diagnosis
- Lymphomas -- Diagnosis | Data processing
- Pattern Recognition, Automated -- methods
- Pattern recognition systems
- Algorithms
- Language
- eng
- Summary
- Integrating the massive amount of new genomic information into medical practice will require new approaches to knowledge management. This need is particularly acute in surgical pathology where the evaluation of diagnostic tissue sections now requires assessment of the location and staining intensity for a wide range of proteins that are identified through the use of labeled antibodies. The possible combinations of visual features that may be observed threaten to exceed the limits of the human intellect. Research was undertaken to construct a knowledge-based decision support system for this task. An algorithm written in MATLAB® and employing fuzzy logic was designed to interpret the staining results of eight antibodies that are used to classify lymphoid tumors. Testing with all possible combinations of antibody results (256) was consistent with the expected diagnoses. It appears that this method may be helpful in solving the information overload problem and may significantly improve the accuracy and consistency of disease diagnoses
- Cataloging source
- MMU
- http://library.link/vocab/creatorName
- Arthur, Gerald L
- Degree
- M.S.
- Dissertation year
- 2009.
- Granting institution
- University of Missouri-Columbia
- Illustrations
- illustrations
- Index
- no index present
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- theses
- http://library.link/vocab/relatedWorkOrContributorName
- Gong, Yang
- http://library.link/vocab/subjectName
-
- Lymphomas
- Lymphocytes
- Fuzzy logic
- Algorithms
- Decision support systems
- Information storage and retrieval systems
- Pattern recognition systems
- Diagnosis, Computer-Assisted
- Fuzzy Logic
- Algorithms
- Decision Support Systems, Clinical
- Information Storage and Retrieval
- Lymphoma, B-Cell
- Pattern Recognition, Automated
- Target audience
- specialized
- Label
- Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas, by Gerald L. Arthur, (electronic resource)
- Note
-
- The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file
- Thesis Advisor: Yang Gong
- "May 2009"
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 423668686
- Dimensions
- unknown
- Form of item
- electronic
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- remote
- System control number
- (OCoLC)423668686
- System details
- Mode of access: World Wide Web
- Label
- Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas, by Gerald L. Arthur, (electronic resource)
- Note
-
- The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file
- Thesis Advisor: Yang Gong
- "May 2009"
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 423668686
- Dimensions
- unknown
- Form of item
- electronic
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- remote
- System control number
- (OCoLC)423668686
- System details
- Mode of access: World Wide Web
Subject
- Decision Support Systems, Clinical
- Decision support systems
- Diagnosis, Computer-Assisted -- methods
- Dissertations, Academic -- University of Missouri--Columbia -- Health informatics
- Electronic books
- Electronic bookss
- Electronic dissertations
- Fuzzy Logic
- Fuzzy logic
- Information Storage and Retrieval -- methods
- Information storage and retrieval systems
- Lymphocytes
- Lymphoma, B-Cell -- diagnosis
- Lymphomas -- Diagnosis | Data processing
- Pattern Recognition, Automated -- methods
- Pattern recognition systems
- Algorithms
Genre
Library Locations
-
St. Louis Mercantile LibraryBorrow it1 University Blvd, St. Louis, MO, 63121, US38.710138 -90.311107
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-
University ArchivesBorrow it703 Lewis Hall, Columbia, MO, 65211, US
-
University of Missouri-St. Louis Libraries DepositoryBorrow it2908 Lemone Blvd, Columbia, MO, 65201, US38.919360 -92.291620
-
University of Missouri-St. Louis Libraries DepositoryBorrow it2908 Lemone Blvd, Columbia, MO, 65201, US38.919360 -92.291620
-
Ward E Barnes Education LibraryBorrow it8001 Natural Bridge Rd, St. Louis, MO, 63121, US38.707079 -90.311355
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Implementation-of-a-fuzzy-rule-based-decision/7O6q8Ww2juM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Implementation-of-a-fuzzy-rule-based-decision/7O6q8Ww2juM/">Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas, by Gerald L. Arthur, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
