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Program evaluations of tools that enforce or encourage switching to preferred agents exhibited the highest proportion of studies that included a plan-focused outcome.
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Furthermore, published evaluations of tool performance have been added to provide guidance in the choice of programs or databases.
For each analytical step, published evaluations of tool performance and data analysis methods are provided when they are available.
All tools have been classified by omic technologies (next-generation sequencing, microarray, mass spectrometry and nuclear magnetic resonance) associated with published evaluations of tool performance.
Additional comparative evaluations of tool reproducible accuracy are needed as well as impact analyses demonstrating evidence that risk stratification changes physician behavior and improves patient outcomes.
Furthermore, classification and evaluation of tools have been presented.
Several tools are presented in related work, but little attention is paid on the evaluation of tools due to the unavailability of standard benchmarks and frameworks.
The aim of the work was to understand how tool features influence effectiveness and to propose criteria for effectiveness, for informing the design and evaluation of tools.
In this paper, we present a classification in order to help navigation through the mobile app quality tools landscape for easier selection and more targeted evaluation of tools.
Herein, we focus on the comparison and evaluation of tools for de novo assembly of genome sequence.
We recommend development of more effective educational methods, application of proactive enforcement, and continued evaluation of tools by directly measuring change in human behavior.
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CEO of Professional Science Editing for Scientists @ prosciediting.com