A case-based reasoning framework for prediction of stroke

Publication Type:
Conference Proceeding
Advances in Intelligent Systems and Computing, 2018, 625 pp. 219 - 227
Issue Date:
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© Springer Nature Singapore Pte Ltd. 2018. Case-based reasoning (CBR) has been a popular method in health care sector from the last two decades. It is used for analysis, prediction, diagnosis and recommending treatment for patients. This research purposes a conceptual CBR framework for stroke disease prediction that uses previous case-based knowledge. The outcomes of this approach not only assist in stroke disease decision-making, but also will be very useful for prevention and early treatment of patients.
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