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Case-Based Reasoning
An Effective Paradigm to Facilitate Diagnostic Support for Stroke Patients
Angleščina
142 b
30 dni za vračilo blaga
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.
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