A: Personalized medicine.
The algorithm shows good prediction performance (an improvement of up to 10% in terms of MAE compared to regression-based methods), but training a personalized function for each user makes it difficult to be implemented in large-scale social networks.
The objective of this study is to develop an intelligent method for personalized monitoring and clinical decision support through early estimation of patient-specific vital sign values, and prediction of anomalies using the interrelation among multiple vital signs.
In this paper, we present a new method for handling personalized knowledge recommendation problem.
Collaborative filtering (CF) is a popular method for the personalized recommendation.
Thus, personalized genomic approaches also represent a tractable method for rare diseases where low prevalence renders clinical trials infeasible.
It's a personalized watcher for my car's health.
Personalized measures have been proposed as a method for identifying those aspects of a health condition that impact on QOL.
Heightened awareness of the time course and altered chronobiology of disease and 'real-time' personalized molecular methods for detecting biomarkers of genomic expression at the bedside should also help us precisely target our management interventions.
In this paper, we design a mechanism to build a personalized distance function for each user.
It is useful for proposing a personalized diagnostic and therapeutic method.
