Abstract
Natural language textual information forms a main part of the medical record from which the physician builds his opinion about a patient. Manual archiving systems for medical records are rarely efficiently used; they are often considered as cemeteries for documents. Therefore automatic archiving and retrieval of textual information are of paramount interest.
This article presents an original approach to the complexity of natural language processing, using syntactic as well as semantic properties in grouping words according to proximity rules. The number of entities in the resulting text is reduced by a factor 2 to 4 in comparison with the initial one; this dramatically diminishes the combinatorial explosion usually encountered in syntactic analysis and achieves a first semantic aggregation of information.
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© 1990 Springer-Verlag Berlin Heidelberg
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Morel-Guillemaz, AM., Baud, R.H., Scherrer, JR. (1990). Proximity Processing of Medical Text. In: O’Moore, R., Bengtsson, S., Bryant, J.R., Bryden, J.S. (eds) Medical Informatics Europe ’90. Lecture Notes in Medical Informatics, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51659-7_117
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DOI: https://doi.org/10.1007/978-3-642-51659-7_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-52936-1
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