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Further studies are needed to better understand the feasibility of using each context factor for alert optimization, as well as the effect when using it.
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The identified set of context factors for alert prioritization is proposed as a starting point for effective alerting in CPOE systems.
To our knowledge, this is the first attempt to structure and validate possible context factors for alert optimization within CPOE systems.
This analysis of predictive factors for alerts overriding is limited by the low number of new errors in our data.
According to the clustering of the ranking values, the most useful context factors for prioritizing alerts are 's everity of the effect' and 'clinical status of the patient'.
Some of the factors have been used within suggestions for alert improvement.
PC factor 1 (PC1; alert, hopping, moving) accounted for 20% of the total variance in the data and was explained by animals being alert (positively correlated with PC1) or hopping or moving out of the area (negatively correlated with PC1).
Recognition of predisposing factors for dementia should alert primary care physicians to the increased risk of dementia, in order to facilitate the early recognition and management of this disease.
Several different techniques for alert correlation are discussed.
Big Variety challenges for alert generation can involve correlation among alert generators such as IDSs that can have many different formats for their alert messages or event data.
The mean efficiency for alert, orientation and executive attention networks was submitted to a repeated-measures ANOVA with Network (Alert, Orientation, & Executive) as the within-subjects factor and Group FES & Controll) as the between-subjects factor.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com