Medical Natural Language Understanding as a Supporting Technology for Data Mining in Healthcare.

In this chapter, we describe the role of language engineering techniques in text mining, a discipline focusing on information extraction from free texts. Indeed, text mining expands the idea of data mining in structured databases towards information discovering in natural language documents. After an introduction of the various tools and techniques that are available for text mining from the linguistic engineering point of view, we concentrate on a specific application in the domain of medicine.

[1]  D L Ranum,et al.  Knowledge-based understanding of radiology text. , 1988, Computer methods and programs in biomedicine.

[2]  Wim Peters,et al.  The Multilingual design of the EuroWordNet Database , 1997 .

[3]  Sergei Nirenburg,et al.  A Situated Ontology for Practical NLP , 1995 .

[4]  Christian Lovis,et al.  Natural language processing tools for the computerised patient record: present and future , 1996 .

[5]  P. Haug,et al.  Computerized extraction of coded findings from free-text radiologic reports. Work in progress. , 1990, Radiology.

[6]  Naomi Sager,et al.  Research Paper: Natural Language Processing and the Representation of Clinical Data , 1994, J. Am. Medical Informatics Assoc..

[7]  R. Cummins.  Meaning and mental representation , 1990 .

[8]  Rogers P Pole.  The GALEN High Level Ontology , 1996 .

[9]  Gio Wiederhold,et al.  Databases in healthcare , 1980 .

[10]  J. Searle,et al.  Speech act theory and pragmatics , 1980 .

[11]  Kavi Mahesh,et al.  Ontology Development for Machine Translation: Ideology and Methodology , 1996 .

[12]  Saul A. Kripke,et al.  Naming and Necessity , 1980 .

[13]  Werner Ceusters,et al.  Syntactic-Semantic Tagging of Medical Texts: The Multi-TALE Project , 1998, Studies in Health Technology and Informatics.

[14]  Steen Andreassen,et al.  Knowledge and Decisions in Health Telematics , 1994 .

[15]  S Shiffman,et al.  A free-text processing system to capture physical findings: Canonical Phrase Identification System (CAPIS). , 1991, Proceedings. Symposium on Computer Applications in Medical Care.

[16]  Willard Van Orman Quine,et al.  From a Logical Point of View , 1955 .

[17]  John Lyons,et al.  语义学引论 = Linguistic Semantics , 2000 .

[18]  P. Drucker,et al.  Looking ahead: implications of the present. , 1997, Harvard business review.

[19]  F. H. France,et al.  Structure for classification and coding of surgical procedures. , 1993, Studies in health technology and informatics.

[20]  Emmon Bach,et al.  Informal Lectures on Formal Semantics , 1989 .

[21]  John A. Bateman.  Ontology Construction and Natural Language , 1993 .

[22]  Simon C. Dik,et al.  The theory of functional grammar , 1989 .

[23]  James F. Allen.  Natural language understanding , 1987, Bejnamin/Cummings series in computer science.

[24]  Nicoletta Calzolari,et al.  Review of Medical language processing: computer management of narrative data by Naomi Sager, Carol Friedman, and Margaret S. Lyman. Addison-Wesley 1987. , 1989 .

[25]  George A. Miller,et al.  Introduction to WordNet: An On-line Lexical Database , 1990 .

[26]  Hans Paulussen,et al.  DILEMMA-2: A Lemmatizer-Tagger For Medical Abstracts , 1992, Applied Natural Language Processing Conference.

[27]  Michael Böttner,et al.  Natural Language , 1997, Relational Methods in Computer Science.