L M de Bruijn

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This paper presents a method of automatic classification of clinical narrative through text comparison. A diagnosis report can be classified by searching archive texts that show a high textual similarity, and the 'nearest neighbor classifies the case. This paper describes the method's theoretical background and gives implementation details. Large scale(More)
A method is presented for assigning classification codes to pathology reports by searching similar reports from an archive collection. The key for searching is textual similarity, which estimates the true, semantic similarity. This method does not require explicit modeling, and can be applied to any language or any application domain that uses natural(More)
Automatic speech recognition has since long been seen as an ideal method for innovation in diagnosis reporting. Speech technology now seems on the verge of introducing (commercially) attractive systems. The selection of a good speech recogniser is only one consideration in system design. Interface aspects, error handling, reporting method and implementation(More)
OBJECTIVES The paper focuses on the problem of adequately coding pathology reports using SNOMED. Both the agreement between pathologists in coding and the quality of a system that supports pathologists in coding pathology reports were evaluated. METHODS Six sets of three pathologists each received a different set of 40 pathology reports. Five different(More)
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