In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice.
Each respondent evaluated three hypothetical health recommendation systems on validated multi-scale measures of effort, privacy risk, usefulness, enjoyment and intention to use the system.
The scenarios depict hypothetical health recommendation systems (see Additional file 1) each of which offers a full profile description of the eight steps identified in Figure 1 and defined by one of the three options (see Table 1).
To assess physicians' awareness of the infertility risk associated with race, age, and education, and to elicit their clinical management recommendations for a hypothetical patient.
Table 3 summarises the results of the application of the model to individualise warfarin recommendation in a hypothetical patient population, according to the coclassification of patients based on the CHADS2 and HEMORR2HAGES scores.
That's after docking all my recommendations, but not your hypothetical index investment, for a 1% commission cost.
In this calculation, by the way, we have docked my recommendations — but not the hypothetical index trades — 1% for commission costs.
First, this was a study of hypothetical as opposed to real life recommendations.
Data collection for our study involved 204 respondents from a large, representative national consumer panel in the Netherlands who responded to hypothetical scenarios about different personalized nutrition recommendation systems.
Secondly, we estimated vaccine match for alternative hypothetical strategies, relying on the Northern Hemisphere vaccine recommendations and/or earlier timings of vaccination (similarly assuming that protective vaccine response was achieved in the month following that of the vaccination campaign).
