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Demand for Intelligent Search Tools in Medicine and Health Care

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Book cover Intelligent Search on XML Data

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2818))

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Abstract

The high demand for medical knowledge poses a big challenge for information technology to offer user-friendly systems which help healthy citizens, patients and health professionals to find proper data, information and knowledge.

Medicine has a long history in structured or semi-structured documentation. On the one hand medical documentation of diagnoses has been performed using the ICD-10 (International Classification of Diseases, 10th revision [294]) or other coding systems; on the other hand indexing of scientific literature has been done using key words from MeSH (Medical Subject Headings [213]). Coding systems like ICD, classifications and medical thesauri have been available for years. Scientifically validated terminologies like SNOMED (Standardized Nomenclature in Medicine [291]) and standardised messaging standards like HL7 (Health Level 7 [155]) and DICOM (Digital Imaging an Communication in Medicine [99]) have been facilitating communications between computer systems and different modalities and have achieved a broad market acceptance within the healthcare industry. Medical queries are among the most popular topics people are searching for in different databases an knowledge sources.

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© 2003 Springer-Verlag Berlin Heidelberg

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Pfeiffer, K.P., Göbel, G., Leitner, K. (2003). Demand for Intelligent Search Tools in Medicine and Health Care. In: Blanken, H., Grabs, T., Schek, HJ., Schenkel, R., Weikum, G. (eds) Intelligent Search on XML Data. Lecture Notes in Computer Science, vol 2818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45194-5_1

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  • DOI: https://doi.org/10.1007/978-3-540-45194-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40768-3

  • Online ISBN: 978-3-540-45194-5

  • eBook Packages: Springer Book Archive

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