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It generates a preference based utility scale (range 0.29 to 1) that was derived using the preference elicitation technique Standard Gamble.
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The concordance method generates a preference ranking which best satisfies a given concordance measure.
Our proposed solution, Body Area Network Data Aggregation Algorithm (Banag), generates a preference order for each patient, based on the severity and acuteness of his/her health.
The resultant algorithm generates a preference-based index that can be used economic evaluation and that reflects the impact of this condition.
This may generate a preference for the security of having the psychiatrists initiate treatment and follow for at least a short time.
With its ability to generate a preference-weighted index score, it is widely recommended for use in clinical and economic evaluation [15], [16].
Consequently, the overall aim of this research was to generate a preference-based measure from the I-QOL and its neurogenic set, the Incontinence Utility Index (IUI), by means of surveying a representative sample of the general population.
The SF-36 can be used to generate a preference-based index via the SF-6D [ 5].
When the type of the active preference corresponds to MF, it generates the current preference (Line 8).
We selected 0.50 mM lobeline for subsequent experiments, since it generated moderately strong preferences for aversive and attractive behaviors.
This proposition could be tested by experimentally selecting for a microbiome that generates a particular food preference in animals, as above.
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