In this paper, we present a novel semi-supervised technique for finding privacy-sensitive events in clinical text. Unlike traditional semi-supervised methods, we do not require large amounts of unannotated data. Instead, our approach relies on ...

Cryo-Electron Microscopy is a biophysical technique that generates volumetric images of macromolecules. Although it is hard to distinguish the backbone from the density map at medium resolutions such as 5-10Å, the location of major secondary structure ...

Automated techniques for locating and identifying key biomedical entities such as diseases in biomedical publications have a wide range of applications, including semantic literature indexing, biocuration support and knowledge discovery. Machine ...

Reconstruction of family trees, or pedigree reconstruction, for a group of individuals is a fundamental problem in genetics. The problem is known to be NP-hard even for datasets known to only contain siblings. Some recent methods have been developed to ...

Recent US government initiatives have led to wide adoption of Electronic Health Records (EHRs). More and more health care institutions are storing patients' data in an electronic format. These EHRs contain valuable information which can be used in ...

Many text-mining studies have focused on the issue of named entity recognition and normalization, especially in the field of biomedical natural language processing. However, entity recognition is a complicated and difficult task in biomedical text. One ...

Thanks to advances in mobile sensing technologies, it has recently become practical to deploy wireless electrocardiograph sensors for continuous recording of ECG signals. This capability has diverse applications in the study of human health and behavior,...

This paper addresses the problem of automating an image ranking process for stem cell colonies. We automate the manual process in a novel way: instead of fitting off-the-shelf image features and colony ranks to prediction models, we define a new feature ...