DA |
A01
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DA -an explicit, normative and analytic approach to making decisions under uncertainty- provides a probabilistic framework for exploring difficult problems in non-deterministic domains. |
A02
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DA is the application of explicit, quantitative methods to analyze decisions under conditions of uncertainty. |
A03
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DA formalizes the decision process, highlights the factors that influence the decision, and applies mathematical rigour to quantify decision-making. |
CDA |
A04
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CDA seeks to identify the optimal management strategy by modelling the uncertainty and risks entailed in the diagnosis, natural history, and treatment of a particular problem or disorder. |
A05
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CDA is a systematic method for making wise choices under just such circumstances. |
A06
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(C)DA in a quantitative approach for dealing with the uncertainties inherent in many medical decisions, including decisions about genetic testing. |
A07
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(C)DA is a quantitative by an ever increasing number of costly and confusing application of probability and utility theory to decision diagnostic tests and therapeutic interventions, decision-making under conditions of uncertainty. |
A08
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(C)DA is a quantitative approach to decision-making under conditions of uncertainty that can be applied to specific types of clinical problems. |
A09
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CDA is a process whereby different treatment options are assessed systematically. |
A10
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(C)DA is a formal, mathematical approach to analyzing difficult decisions faced by clinical decision makers (i.e. patients, clinicians, policy-makers). |
A11
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(C)DA is a formal, quantitative method for systematically comparing the benefits and harms of alternative clinical strategies under circumstances of uncertainty. |
A12
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(C)DA is a tool that allows users to apply evidence-based medicine to make informed and objective clinical decisions when faced with complex situations. |
A13
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(C)DA is a simulation, model-based research technique in which investigators combine information from a variety of sources to create a mathematical model representing a clinical decision. |
A14
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CDA - the application of DA to a clinical or patient-based setting - is a technique that incorporates literature-derived probabilities with expert and patient preferences to result in an informed clinical decision. |