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The applicability of EbCA to two very different case studies is introduced as an illustration of both the suitability of the methodology in improving complex modelling and supporting complex decision making, and to illustrate the versatility of the proposal which could be applied in a wide range of data analysis methods and study designs.
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In recent years it has become increasingly accepted that in order to build information systems that can support complex decision making it will be necessary to more fully understand human decision-making processes.
Shortstop is one of the most demanding positions on the field, requiring complex decision making.
Virtual MDT clinics have been developed in adult HIV practice across the UK and USA for over a decade to support complex treatment decision making.
They have been used to support decision making on complex problems such as site selection, land suitability, resource evaluation, and land allocation [18 22].
Efficient tools are needed to support effective decision making [4].
Combined multidisciplinary virtual input with adult expertise in resistance and newer agents, paediatric knowledge of pill swallowing, childhood formulations/weight banding and parental support, assists complex treatment decision making in paediatric HIV infection.
Fuzzy logic is based on imprecise human reasoning and exploits the tolerance for imprecision to solve complex problems and support decision making on complex systems [17, 18, 19, 20].
Operations research and management science supports decision making through modeling and analysis of complex systems.
Measurement systems produce information to support decision making.
Support during the decision making process Fig. 94 (abstract A214).
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