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The present prospective cohort study was part of a controlled clinical trial evaluating the impact of molecular diagnostics on clinical decision making in pediatric respiratory infections, performed during 2 winter seasons.
In order to gauge the economic impact of improved decision making in critically injured patients, we performed an analysis on cost savings from reduced need for inpatient ICU care, general ward care, outpatient rehabilitation, and reduced exposure to hospital-acquired infections.
In this use, both patient and practitioner were envisaged as active participants in decision-making and in performing actions arising from the conversation.
Therefore, this should be discussed with all stakeholders as early as feasible to ensure the relevance of study results for decision making in clinical practice and the ability to perform the study.
This information would aid in decision making when performing prospective virtual screening experiments.
Foreign Policy Decision Making in Comparative Perspective.
Evidence informed decision making in different ways.
Decision making was performed in two stages: feature extraction by eigenvector methods and classification using the RNN trained on the extracted features.
Decision making was performed in two stages: feature extraction by spectral analysis methods (fast Fourier transform and model-based methods) and classification using the classifiers trained on the extracted features.
Decision making is performed in two stages: a fuzzy Analytic Hierarchy Process (AHP) for evaluating the competency criteria, and an Adaptive Neuro-Fuzzy Inference System (ANFIS) for establishing competency IF-THEN rules of the fuzzy inference system.
Ideally, such disaster risk management (DRM) decision making is performed in an iterative fashion that allows for continuous learning and course correction as new information becomes available (IPCC 2007).
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CEO of Professional Science Editing for Scientists @ prosciediting.com