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|Title:||A Decision Making System Based on Complementary Learning||Authors:||Tan, T.Z.
|Issue Date:||2010||Abstract:||Medical decision making is often linked to survival and wellbeing of patients. As such, it is paramount for clinical decision support system to not only provides human-understandable explanation, but also human-relatable reasoning. A human decision making model Complementary Decision Making System (CDMS) is proposed. CDMS is based on complementary learning that functionally models the lateral inhibition and segregation mechanisms observed in the human decision making in prefrontal and parietal lobes. As such, CDMS has a human-like process of decision making. A mapping of hypothetico-deductive reasoning further equip CDMS with a decision making flow that is akin to physicians. CDMS was subsequently applied in diagnosis and it demonstrated its potential as a clinical decision support system. © Springer-Verlag Berlin Heidelberg 2010.||Source Title:||Intelligent Systems Reference Library||URI:||http://scholarbank.nus.edu.sg/handle/10635/126282||ISBN:||9783642136382||ISSN:||18684394||DOI:||10.1007/978-3-642-13639-9_7|
|Appears in Collections:||Staff Publications|
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