نتایج جستجو برای: records documents
تعداد نتایج: 195769 فیلتر نتایج به سال:
Clinical Document Architecture (CDA) is a standard for the exchange of electronic medical records. This paper describes a self-protecting security framework for protecting the security and privacy of CDA documents. The framework extends a CDA document with markups from XML based security standards including eXtensible Access Control Markup Language, XML Encryption, and XML Signature. This integ...
The "Institut National de I'Audiovisuel" (1NA) is in charge of keeping records of national TV broadcasts. Its main function is to provide TV producers with authentic sources. It also serves as a patrimonial archive library for researchers such as historians, sociologists, who study historical facts. The Opales Project is a test bed for studying new services empowered by digital video and hyperm...
Electronic medical records contain a wealth of information that is potentially invaluable to many interested parties. However, the fact that most of these documents are of semistructured nature and are comprised of fragmented English free text, region-specific templates and clinical sublanguage among many other things, has made it difficult to use existing Natural Language Processing tools on t...
We postulate a universe of objects in which each object is described by a set of characteristics. Different objects can have the same or different characteristics, but they differ in at least one characteristic. Thus, every object can be conceptually thought to have an implicit unique identity, though the object identity is not manifest. We have two data sources. The first is a collection of st...
Certain texts, such as clinical reports and clinical trial records, are written by professionals for professionals while being increasingly accessed by lay people. To improve the comprehensibility of such documents to the lay audience, we conducted a pilot study to analyze terms used primarily by health professionals, and explore ways to make them more comprehensible to lay people.
Streaming data analysis has recently attracted attention in numerous applications including telephone records, web documents and clickstreams. For such analysis, single-pass algorithms that consume a small amount of memory are critical. We describe such a streaming algorithm that e ectively clusters large data streams. We also provide empirical evidence of the algorithm's performance on synthet...
Documents produced in the past usually exist in multiple versions. There is an inherent difficulty in recording and visualising variation between different versions, which is inhibiting efforts to make literature available online. This paper describes a novel document structure, which accurately records variations and facilitates their visualisation.
Purpose: This research is devoted to study the consistency between keywords extracted from abstracts of theses by the experts in the related fields and descriptors provided by the indexers in database of “Iran’s theses abstracts”. Methodology: This research is an applied study based on content analysis. A checklist which consisted of 32 criteria was used. In addition, we consulted the experts ...
MOTIVATION Clustering MEDLINE documents is usually conducted by the vector space model, which computes the content similarity between two documents by basically using the inner-product of their word vectors. Recently, the semantic information of MeSH (Medical Subject Headings) thesaurus is being applied to clustering MEDLINE documents by mapping documents into MeSH concept vectors to be cluster...
The process of removing personal health information (PHI) from clinical records is called deidentification. There are many methodologies in use for de-identification, and most of them are based on a named entity recognition (NER) technique. We introduce here a novel, iterative NER approach intended for use on semi-structured documents like discharge records and it can successfully identify PHI ...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید