Abstract
We describe a clinical decision support system applied the Analytic Hierarchy Process (AHP), with taking planning lifestyle modifications for Diabetic patients as an example. From our results, clinical decision support systems applied the AHP can promote interactive decision making through finding a point of agreement among (1) physician’s aspect based on experience and belief, (2) patient’s aspect based on characteristics, and (3) expert consensus. Moreover, such systems may meet the need to customize the decision making process.
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Suka, M., Ichimura, T., Yoshida, K. (2003). Clinical Decision Support System Applied the Analytic Hierarchy Process. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_57
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DOI: https://doi.org/10.1007/978-3-540-45226-3_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40804-8
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