Chantamit-O-Pas, Pattanapong and Goyal, Madhu (2017) A Case-Based Reasoning Framework for Prediction of Stroke In: Information and Communication Technology, Advances in Intelligent Systems and Computing Springer Singapore, 219-227.
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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Book Section
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ระบบ อัตโนมัติ
Date Deposited:
2021-09-06 03:38:22
Last Modified:
2021-09-23 01:00:28