Online health communities are a valuable source of information for patients and physicians.
However, such user-generated resources are often plagued by inaccuracies and …

Resolving pronoun coreference requires knowledge support, especially for particular
domains (eg, medicine). In this paper, we explore how to leverage different types of …

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 …

Abstract This paper introduces IQPs (Integer Quadratic Programs) as a way to model joint
inference for the task of concept recognition in clinical domain. IQPs make it possible to …

One of the major hurdles preventing the full exploitation of information from online
communities is the widespread concern regarding the quality and credibility of user …

[Objective] This paper tries to more effectively identify the coreference, aiming to address the
issues of ambiguous anaphor meaning and complex antecedent structure.[Methods] We …

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 …

The current paper proposes a strategy for exploring and integrating related information
extracted from unstructured documents with different degree of confidence, standardization …

Electronic medical records contain important information of patients, which can serve as
input to perform a retrospective analysis in the diagnosis, follow-up and treatment of a …

Electronic patient records, containing data about the health and care of a patient, are a
valuable source of information for longitudinal clinical studies. The General Practice …