Healthcare information and its secure management has become an active research topic along with an increase in the usage of XML documents and the importance of access control in maintaining patient records. In this paper, we present a methodology to describe a formal specification for an authorized view of an XMLbased healthcare system having a schema-level access control by assigning well-esta...

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The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients’ cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of th...

Despite the growing use of electronic health records (EHRs) and health information exchange (HIE) technologies, providers and payers still face challenges with regard to accessing all the information known about a given patient or member. Patient health information can be trapped in siloed healthcare information systems, paper-based documents and processes, or non-machine-readable documents. An...

Extracting information from plain text and restructuring them into relational databases raise a challenge as how to locate relevant information and update database records accordingly. In this paper, we propose a wrapper to efficiently extract information from unstructured documents, containing plain text expressed with natural-like language. Our extraction approach is based on the automata for...

Because anthropogenic impacts on ecological systems pre-date the oldest scientific observations, historical documents and archaeological records, understanding modern extinctions requires additional data sources that extend further back in time. Palaeoecological records, which provide quantitative proxy records of ecosystems prior to human impact, are essential for understanding recent extincti...

This paper presents a semantic model adapted for the indexing of electronic patient records (EHRs) as a support to the process of finding medical information. Given the specificity of such documents, the indexing is based on the sequence of Natural Language Processing steps: semantic annotation based on the use of the MeSH (Medical Subject Headings) thesaurus, concept disambiguation, extraction...

OBJECTIVE The anonymization of medical records is of great importance in the human life sciences because a de-identified text can be made publicly available for non-hospital researchers as well, to facilitate research on human diseases. Here the authors have developed a de-identification model that can successfully remove personal health information (PHI) from discharge records to make them con...