Sentence examples for personalized decision making from inspiring English sources

Isaac Kohane, in his January 2009 Genome Medicine commentary [ 9], asks 'who are you and whom do you most resemble?' He convincingly argues that personalized decision making requires the combination of information about the population subgroup a person belongs to, along with information about the particular individual.

CEGMR will also continue to develop and implement new algorithms and databases enabling iterative dynamic interpretations of data in personalized health decision making [ 169- 171].

However, though shown to be well calibrated at the population level, it has only moderate discriminatory accuracy at the individual level [ 11], limiting its use for personalized clinical decision making.

The growing amount of data combined with factors such as time, cost, and personalized treatment is complicating clinical decision making.

However, there are few theoretical publications modelling the decision making processes related to personalized medicine.

This paper analyzes from a theoretical perspective the decision making processes dealing with personalized health care by providing an integrated framework that combines some epidemiological, clinical and economic variables.

This study presents a generic ontology-based architecture using a multi-criteria decision making technique to design a personalized route planning system.

Such treatment algorithms stand in contrast to the personalized medicine approach, in which biomarkers would guide decision making.

Advances in information and communication technology (ICT) allow firms to model complex consumer decision making processes at an increasingly personalized level.

CER results support patients in a shared decision making situation before THR based on a personalized risk assessment approach.

This model-based decision-support system provides an excellent tool to effectively guide physicians in personalized decision-making to achieve optimal metabolic control for their patients.