910 resultados para Support Decision System
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Includes index.
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Mode of access: Internet.
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Thesis (Ph.D.)--University of Washington, 2016-06
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Objectives. To undertake a prospective longitudinal study to assess psychological and decision-related distress after the diagnosis of localized prostate cancer. Methods. A total of I 11 men (93% response rate) with localized prostate cancer were recruited from outpatient urology clinics and urologists' private practices. More than one half (56%) elected to undergo radical prostatectomy, 19% underwent external beam radiotherapy, and 25% chose watchful waiting. Men completed self-report measures before treatment and 2 and 12 months after treatment. The measures used included the University of California, Los Angeles, Prostate Cancer Index, International Prostate Symptom Score, Impact of Events Scale, Constructed Meaning Scale, Satisfaction with Life Scale, Health Care Orientation subscale, and Decisional Conflict Scale. Results. No statistically significant differences were found by medical treatment group in the psychological and decision-related adjustment at baseline or with time. Men who were undecided about their treatment choice had greater decisional conflict and a more negative healthcare orientation, but were not more psychologically distressed, compared with men who had decided. At diagnosis, 63% of men had high decision-related distress, and this persisted for 42% of men 12 months after treatment, despite high satisfaction with their treatment choice. At diagnosis, low-to-moderate psychological distress was most common, with distress decreasing after treatment. The overall quality of life was similar to community norms. Conclusions. The results of our study indicated that men who were undecided about what treatment to receive experienced greater decision-related distress. The final treatment choice was not related to psychological distress about prostate cancer. Psychological and decision-related distress decreased with time, independent of treatment modality. Interventions should target decision-related distress for all men and in-depth psychological support for those who experience ongoing difficulties. (C) 2004 Elsevier Inc.
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Power systems are large scale nonlinear systems with high complexity. Various optimization techniques and expert systems have been used in power system planning. However, there are always some factors that cannot be quantified, modeled, or even expressed by expert systems. Moreover, such planning problems are often large scale optimization problems. Although computational algorithms that are capable of handling large dimensional problems can be used, the computational costs are still very high. To solve these problems, in this paper, investigation is made to explore the efficiency and effectiveness of combining mathematic algorithms with human intelligence. It had been discovered that humans can join the decision making progresses by cognitive feedback. Based on cognitive feedback and genetic algorithm, a new algorithm called cognitive genetic algorithm is presented. This algorithm can clarify and extract human's cognition. As an important application of this cognitive genetic algorithm, a practical decision method for power distribution system planning is proposed. By using this decision method, the optimal results that satisfy human expertise can be obtained and the limitations of human experts can be minimized in the mean time.
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With marine biodiversity conservation the primary goal for reserve planning initiatives, a site's conservation potential is typically evaluated on the basis of the biological and physical features it contains. By comparison, socio-economic information is seldom a formal consideration of the reserve system design problem and generally limited to an assessment of threats, vulnerability or compatibility with surrounding uses. This is perhaps surprising given broad recognition that the success of reserve establishment is highly dependent on widespread stakeholder and community support. Using information on the spatial distribution and intensity of commercial rock lobster catch in South Australia, we demonstrate the capacity of mathematical reserve selection procedures to integrate socio-economic and biophysical information for marine reserve system design. Analyses of trade-offs highlight the opportunities to design representative, efficient and practical marine reserve systems that minimise potential loss to commercial users. We found that the objective of minimising the areal extent of the reserve system was barely compromised by incorporating economic design constraints. With a small increase in area (< 3%) and boundary length (< 10%), the economic impact of marine reserves on the commercial rock lobster fishery was reduced by more than a third. We considered also how a reserve planner might prioritise conservation areas using information on a planning units selection frequency. We found that selection frequencies alone were not a reliable guide for the selection of marine reserve systems, but could be used with approaches such as summed irreplaceability to direct conservation effort for efficient marine reserve design.