Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms
Dynamic decision models are frameworks for modeling and solving decision problems that take into explicit account the effects of time. These formalisms are based on structural and semantical extensions of conventional decision models, e.g., decision trees and influence diagrams, with the mathematica...
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1993
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sg-smu-ink.sis_research-40132016-02-10T03:51:59Z Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms Tze-Yun LEONG, Dynamic decision models are frameworks for modeling and solving decision problems that take into explicit account the effects of time. These formalisms are based on structural and semantical extensions of conventional decision models, e.g., decision trees and influence diagrams, with the mathematical definitions of finite-state semi-Markov processes. This paper identifies the common theoretical basis of existing dynamic decision modeling formalisms, and compares and contrasts their applicability and efficiency. It also argues that a subclass of such dynamic decision problems can be formulated and solved more effectively with non-graphical techniques. Some insights gained from this exercise on automating the dynamic decision making process are summarized. 1993-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3013 https://ink.library.smu.edu.sg/context/sis_research/article/4013/viewcontent/procascamc00002_0494.pdf Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Health Information Technology |
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Computer Sciences Health Information Technology Tze-Yun LEONG, Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms |
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Dynamic decision models are frameworks for modeling and solving decision problems that take into explicit account the effects of time. These formalisms are based on structural and semantical extensions of conventional decision models, e.g., decision trees and influence diagrams, with the mathematical definitions of finite-state semi-Markov processes. This paper identifies the common theoretical basis of existing dynamic decision modeling formalisms, and compares and contrasts their applicability and efficiency. It also argues that a subclass of such dynamic decision problems can be formulated and solved more effectively with non-graphical techniques. Some insights gained from this exercise on automating the dynamic decision making process are summarized. |
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Tze-Yun LEONG, |
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Tze-Yun LEONG, |
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Tze-Yun LEONG, |
title |
Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms |
title_short |
Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms |
title_full |
Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms |
title_fullStr |
Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms |
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Dynamic Decision Modeling in Medicine: A Critique of Existing Formalisms |
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dynamic decision modeling in medicine: a critique of existing formalisms |
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Institutional Knowledge at Singapore Management University |
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1993 |
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https://ink.library.smu.edu.sg/sis_research/3013 https://ink.library.smu.edu.sg/context/sis_research/article/4013/viewcontent/procascamc00002_0494.pdf |
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