Scalable Predictive Analysis in Critically Ill Patients Using a Visual Open Data Analysis Platform.

ABSTRACT: With the accumulation of large amounts of health related data, predictive analytics could stimulate the transformation of reactive medicine towards Predictive, Preventive and Personalized (PPPM) Medicine, ultimately affecting both cost and quality of care. However, high-dimensionality and high-complexity of the data involved, prevents data-driven methods from easy translation into clinically relevant models. Additionally, the application of cutting edge predictive methods and data manipulation require substantial programming skills, limiting its direct exploitation by medical domain experts. This leaves a gap between potential and actual data usage. In this study, the authors address this problem by focusing on open, visual environments, suited to be applied by the medical community. Moreo

SUBMITTER: Van Poucke S 

PROVIDER: S-EPMC4701479 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature