PDF herunterladen
Methods Inf Med 1998; 37(04/05): 384-393
DOI: 10.1055/s-0038-1634559
Original Article
Schattauer GmbH

From Text to Knowledge: a Unifying Document-Centered View of Analyzed Medical Language

P. Zweigenbaum
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
J. Bouaud
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
B. Bachimont
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
J. Charlet
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
B. Séroussi
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
J.-F. Boisvieux
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
› Institutsangaben
Weitere Informationen

Publikationsverlauf

Publikationsdatum:
15. Februar 2018 (online)

    Lizenzen und Reprints

Abstract

Although medical language processing (MLP) has achieved some success, the actual use and dissemination of data extracted from free text by MLP systems is still very limited. We claim that the adoption of an ‘enricheddocument’ paradigm (or ‘document-centered’ view) can help to address this issue. We present this paradigm and explain how it can be implemented, then discuss its expected benefits both for end-users and MLP researchers.

Keywords

Natural Language Processing - Medical Language - Documents
 

  • REFERENCES

  • 1 Sager N, Lyman M, Bucknall C, Nhan NT, Tick LJ. Natural language processing and the representation of clinical data. Journal of the American Medical Informatics Association 1994; 1 (2) 142-60.
    CrossrefPubMedSuche in Google Scholar
  • 2 Gundersen ML, Haug PJ, Pryor TA. et al. Development and evaluation of a computerized admission diagnoses encoding system. Compia and Biomed Res 1996; 29 (1/2) 351-72.
    PubMedSuche in Google Scholar
  • 3 Department of Health and Human Services, Washington. International Classification of Diseases, Clinical Modifications, 9th revision. 1980
    Suche in Google Scholar
  • 4 Côté RA, Rothwell DJ, Palotay JL, Beckett RS, Brochu L. (eds.) The Systematised Nomenclature of Human and Veterinary Medicine: SNOMED International. College of American Pathologists; Northfield: 1993
    Suche in Google Scholar
  • 5 Oliver DE, Altman RB. Extraction of SNOMED concepts from medical record texts. In: Proceedings of the 18lh Annual SCAMC, Washington. Me Graw Hill; 1994: 179-83.
    Suche in Google Scholar
  • 6 Sager N, Nhan NT, Lyman M, Tick LJ. Medical language processing with SGML display. In: Cimino; [43], October 1996: 547-51.
    Suche in Google Scholar
  • 7 Zingmond D, Lenert LA. Monitoring freetext data using medical language processing. Comput and Biomed Res 1993; 26: 467-81.
    PubMedSuche in Google Scholar
  • 8 Friedman C, Alderson PO, Austin JH, Cimino JJ, Johnson SB. A general natural-language text processor for clinical radiology. Journal of the American Medical Informatics Association 1994; 1 (2) 161-74.
    CrossrefPubMedSuche in Google Scholar
  • 9 Rector AL, Nowlan WA, Kay S. Conceptual knowledge: the core of medical information systems. In: Lun KC, Degoulet P, Piemme T, Rienhoff O. eds. Proc MEDINFO 92, Geneva. North Holland; 1992: 1420-6.
    Suche in Google Scholar
  • 10 Zweigenbaum P, Consortium Menelas. Menelas: an access system for medical records using natural language. Comput Methods Programs Biomed 1994; 45: 117-20.
    CrossrefPubMedSuche in Google Scholar
  • 11 Nygren E, Henriksson P. Reading the medical record. I. Analysis of physicians ways of reading the medical record. Comput Methods Programs Biomed 1992; 39: 1-2.
    CrossrefPubMedSuche in Google Scholar
  • 12 Séroussi B, Baud R, Moens M. et al. DOME final report. DOME (EU Project MLAP-63221) Deliverable D0.2, DIAM, SIM/ AP-HP. 1996
    PubMedSuche in Google Scholar
  • 13 Nygren E, Johnson M, Henriksson P. Reading the medical record. II. Design of a human-computer interface for basic reading of computerized medical records. Comput Methods Programs Biomed 1992; 39: 13-25.
    CrossrefPubMedSuche in Google Scholar
  • 14 Adelhard K, Eckel R, Hôlzel D, Tretter W. A prototype of a computerized patient record. Comput Methods Programs Biomed 1995; 48: 115-9.
    CrossrefPubMedSuche in Google Scholar
  • 15 Bouaud J, Séroussi B. Navigating through a document-centered computer-based patient record: a mock-up based on WWW technology. In: Cimino; [43], October 1996
    Suche in Google Scholar
  • 16 Carvalho GA. Modélisation documentaire du dossier patient : une expérience. Rapport de DEA, Informatique Biomédicale. Université Paris 5; 1996
    Suche in Google Scholar
  • 17 Laforest F, Frènot S, Flory A. A new approach for hypermedia medical records management. In: Brender J, Christensen JP, Scherrer JR, McNair P. eds. Proceedings of MIE'96, Copenhagen, DK. IOS Press; 1996: 1042-6.
    Suche in Google Scholar
  • 18 Bachimont B, Charlet J. Hospitexte: station de consultation pour un dossier patient dématérialisé. Technical Report 96-170, Département Intelligence Artificielle et Médecine – SIM/AP-HP, 91, bd de l'Hôpital, 75634 Paris cedex 13. France: 1996
    Suche in Google Scholar
  • 19 Armstrong S. Using Large Corpora. MIT Press; 1994. Reprinted from Computational Linguistics, 19 (1/2), 1993.
    Suche in Google Scholar
  • 20 Lehnert W, Sundheim B. A performance evaluation of text-analysis technologies. The Artificial Intelligence Magazine 1991; (Fall) 81-94.
    PubMedSuche in Google Scholar
  • 21 Brill E. Transformation-based error-driven learning and natural language processing: A case study in part-of-speech lagging. Computational Linguistics 1995; 21 (4) 543-65.
    PubMedSuche in Google Scholar
  • 22 Basili R, Pazienza MT, Velardi P. What can be learned from raw texts?. Machine Translation 1993; 8: 147-73.
    CrossrefPubMedSuche in Google Scholar
  • 23 ISO. Standard generalized markup language. ISO 8879, International Organization for Standardization, 1 rue de Varembé, C. P. 56, CH-1211. Genève: 1986
    Suche in Google Scholar
  • 24 Goldfarb CF. The SGML handbook. Oxford University Press; 1990
    Suche in Google Scholar
  • 25 Sperberg-McQueen CM, Burnard L. eds. Guidelines for Electronic Text Encoding and Interchange (TEI P3). Chicago, Oxford: 1994. ACH, ACL and ALLC.
    Suche in Google Scholar
  • 26 Alschuler L, Lincoln TL, Spinosa J. Medicine for SGML. In: Proceedings GCA SGML'96. 1996: 181-9.
    PubMedSuche in Google Scholar
  • 27 Kay M. Algorithm schemata and data structure in syntactic processing. In: Grosz BJ, Jones KS, Webber BL. eds. Readings in Natural Language Processing. Morgan Kaufmann, Los Altos, Ca: 1986: 35-70.
    Suche in Google Scholar
  • 28 Nii HP. Blackboard systems: the blackboard model of problem solving and the evolution of blackboard architectures. The Artificial Intelligence Magazine 1986; 7 (2, 3) 38-53 82-106.
    PubMedSuche in Google Scholar
  • 29 de Kleer J. An assumption-based truth maintenance system. Artificial Intelligence 1986; 28: 1.
    CrossrefPubMedSuche in Google Scholar
  • 30 Langendoen DT, Simons GF. A rationale for the TEI recommendations for feature- structure markup. In: Ide and Veronis [44]. 1995: 191-209.
    PubMedSuche in Google Scholar
  • 31 Baud RH, Rassinoux AM, Wagner JC. et al. Representing clinical narratives by Sowa's Conceptual Graphs. Meth Inform Med 1995; 34 (1/2) 176-86.
    PubMedSuche in Google Scholar
  • 32 DeRose SJ, Durand DG. Making Hypermedia Work – A User's Guide to HyTime. Kluwer Academic Publishers; 1994
    Suche in Google Scholar
  • 33 SoftQuad, Inc., Toronto. Panorama Pro for Microsoft Windows. 1995
    PubMedSuche in Google Scholar
  • 34 Veronis J. MULTEXT home page. WWW page http://www.lpl.univ-aix.fr/projects/multext/ CNRS et Université de Provence 1996
    Suche in Google Scholar
  • 35 ISO. Document style semantics and specification language. ISO/IEC 10179, International Organization for Standardization, 1 rue de Varembé, C. P. 56, CH-1211. Genève: 1995. See also [45]
    Suche in Google Scholar
  • 36 Bachimont B. Intelligence artificielle et écriture dynamique: de la raison graphique à la raison computationnelle. In: Colloque de Cerisy La Salle ‘Au nom du sens’ autour de et avec Umberto Eco. Grasset, Paris: 1996. To appear.
    Suche in Google Scholar
  • 37 Natural Language Software Registry. The natural language software registry online research server. WWW page http://cl-www.dfki.uni-sb.de/cl/registry/draft.html 1996
    PubMedSuche in Google Scholar
  • 38 European Language Resources Association. ELRA home page. WWW page http://www.icp.grenet.fr/ELRAL/home.html 1996
    PubMedSuche in Google Scholar
  • 39 Friedman C, Hripcsak G. Evaluating natural language processors in the clinical domain. Meth Infor Med 1998; 37: 334-44.
    PubMedSuche in Google Scholar
  • 40 Giordano R. The TEI header and the documentation of electronic texts. In: Ide and Véronis [44]. 1995: 75-84.
    PubMedSuche in Google Scholar
  • 41 Cimino JJ, Socratous SA, Grewal R. The informatics superhighway: Prototyping on the World Wide Web. In: Gardner RM. ed. Proceedings of the 19th Annual SCAMC. New Orleans. AMIA: 1995: 111-5 JAMIA supplement.
    Suche in Google Scholar
  • 42 Humphrey BL, Lindberg DAB. Building the Unified Medical Language System. In: Proceedings of the 13,h Ajinual SCAMC. Washington: IEEE; 1989: 475-80.
    Suche in Google Scholar
  • 43 Cimino JJ. ed. Proceedings of AMIA Annual Fall Symposium 96. Washington DC: October 1996. JAMIA supplement.
    Suche in Google Scholar
  • 44 Ide N, Véronis J. eds. The Text Encoding Initiative. Kluwer Academic Publishers, Boston, 1995; Reprinted from Computers and the Humanities 29 1995
    Suche in Google Scholar
  • 45 Clark J. ISO/IEC DIS 10179.2: Document style semantics and specification language (DSSSL). WWW page http://www.jclark.com/dsss 1995
    PubMedSuche in Google Scholar