In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...
ct 10 The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at 11 complementing microarray analysis with...
This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be difficult: the tempora...
Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The paper presents Free...
Clinical information systems (CIS) can affect the quality of patient care. In this paper, we focus on CIS use in the collaborative treatment of chronic diseases. We have develope...
Producing reliable information is the ultimate goal of data processing. The ocean of data created with the advances of science and technologies calls for integration of data comin...
Measures of semantic similarity between concepts are widely used in Natural Language Processing. In this article, we show how six existing domain-independent measures can be adapt...
Ted Pedersen, Serguei V. S. Pakhomov, Siddharth Pa...
In this case study, we describe a method that has potential to provide systematic support for public health information management. Public health agencies depend on specialized in...
Genomic medicine aims to revolutionize health care by applying our growing understanding of the molecular basis of disease. Research in this arena is data intensive, which means d...