Case-Based Reasoning
An Effective Paradigm to Facilitate Diagnostic Support for Stroke Patients
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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 subject...
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.
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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