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Case-Based Reasoning

Mariam Baig

ISBN 10: 363915522X / ISBN 13: 9783639155228
Published by VDM Verlag
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About this Item

Paperback. 136 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.This research focuses on upper limb motor dysfunction for stroke patients. This book describes the design, implementation and evaluation of a novel system to facilitate stroke diagnosis which relies on data collected with an innovative KINARM robotic tool. The main methodology for the research is Case Based Reasoning (CBR) - an effective paradigm of artificial intelligence that relies on the principle that a new problem is solved by observing similar, previously encountered problems and adapting their known solutions. A CBR system was designed and implemented for a repository of stroke subjects who had an explicit diagnosis and prognosis. For a new stroke patient, whose diagnosis was yet to be confirmed and who had an indefinite prognosis, the CBR model was effectively used to retrieve analogous cases of previous stroke patients. These similar cases were meant to provide useful information to the clinicians, facilitating them in reaching a potential solution for stroke diagnosis and also a means to validate other imaging tests and clinical assessments to confirm the diagnosis and prognosis. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639155228

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Bibliographic Details

Title: Case-Based Reasoning

Publisher: VDM Verlag

Binding: Paperback

Book Condition: New

Book Type: Paperback

About this title

Synopsis:

This research focuses on upper limb motor dysfunction for stroke patients. This book describes the design, implementation and evaluation of a novel system to facilitate stroke diagnosis which relies on data collected with an innovative KINARM robotic tool. The main methodology for the research is Case Based Reasoning (CBR) - an effective paradigm of artificial intelligence that relies on the principle that a new problem is solved by observing similar, previously encountered problems and adapting their known solutions. A CBR system was designed and implemented for a repository of stroke subjects who had an explicit diagnosis and prognosis. For a new stroke patient, whose diagnosis was yet to be confirmed and who had an indefinite prognosis, the CBR model was effectively used to retrieve analogous cases of previous stroke patients. These similar cases were meant to provide useful information to the clinicians, facilitating them in reaching a potential solution for stroke diagnosis and also a means to validate other imaging tests and clinical assessments to confirm the diagnosis and prognosis.

About the Author:

Originally from Pakistan, Mariam Baig is now settled in Canada as Zermaan Khan's wife and a mother of 2 sweet boys Rayaan & Maazin. She decided to pursue her 2nd M.Sc.in Computational Neuroscience from Queen's University,Kingston Canada. Now working as an IT consultant Mariam advocates the opinion; "Where there is a will there is a way".

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Orders usually ship within 1-2 business days. Books are shipped from multiple locations so your order may arrive from Las Vegas,NV, Roseburg,OR, La Vergne,TN, Momence,IL, or Commerce,GA.

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