Yearb Med Inform 2002; 11(01): 271-275
DOI: 10.1055/s-0038-1638123
Synopsis
Georg Thieme Verlag KG

Information Retrieval and Health/Clinical Management

S. Chu
1   The University of Auckland, New Zealand
› Author Affiliations
Further Information

Address of the author:

Stephen Chu, PhD, FACS
Associate Professor of Health Informatics
Department of Management Science and Information Systems
University of Auckland
Private Bag 92 019
Auckland, New Zealand

Publication History

Publication Date:
05 March 2018 (online)

 

 


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  • References

  • 1 http://www.nlm.nih/gov/pubs/factsheets/online_databases.html
  • 2 Crowe BL, McDonald JG. Evaluation of developments in storage and retrieval systems for health information systems. Proc HIC’99 – 7th National Health Informatics Conference, Hobart, Australia. 1999: 28-31. August
  • 3 Berry D. Combing Boyer-Moore string search with regular expressions. C/C++ User Journal 2000; June 18 (06) 32-7.
  • 4 De Moura SE, Navarro G, Ziviani N, Baeza-Yates R. Fast and flexible word searching on compressed text. ACM Transactions on Information Systems 2000; April 18 (02) 113-39.
  • 5 Lovis C, Baud RH. Fast exact string patternmatching algorithms adapted to the characteristics of the medical language. J Am Med Inform Assoc 2000; August 7 (04) 378-91.
  • 6 Wenzel F. Solution of morphological problems in free text retrieval during segmentation. Nachrichten für Dokumentation 1979; Dec 30 (06) 212-8.
  • 7 Doszhocs TE. Implementing an associative search interface in a large online bibliographic database environment. Proc the 39th FID Congress. 1980: 295-7.
  • 8 Asokan N, Ranka S, Frieder O. A parallel free-text searching system with indexing. Proc International Conference on Databases, Parallel Architecture and their Applications, LA, USA. 1990: 519-21.
  • 9 Cutting D, Pedersen J. Optimizations for dynamic inverted index maintenance. Proc the 13th International Conference on Research and Development in Information Retrieval, NY, USA. 1990: 405-12.
  • 10 Xia L. Designing a visual interface for online searching. Proc The 62nd ASIS Annual Meeting NJ, USA. 1999: 390-5.
  • 11 Ojala M. Research into full-text retrieval. Database 1990; August 13 (04) 78-80.
  • 12 Henzler RG. Free or controlled vocabularies: some statistical user-oriented evaluation of biomedical information. International Classification 1978; March 5 (01) 21-6.
  • 13 King DW, Neel PW, Wood BL. Comparative evaluation of the retrieval effectiveness of descriptor and free text search systems using CIRCOL. Research Report, Westat Research Inc., Rockville, MD, USA; January. 1972
  • 14 Baeza-Yates R, Navarro G. Block addressing indices for approximate text retrieval. J Am Soc Inf Sci 2000; January 51 (01) 69-82.
  • 15 Schulz S, Hahn U. Morpheme-based, crosslingual indexing for medical document retrieval. Int J Med Inf 2000; 8 (59) 87-9.
  • 16 Faragher J. Questions, questions, question and answer software. Information Age. 2001. January 27-31.
  • 17 Skolnick T. Stack search: a graphical search model. Proc International Conference on Intelligent User Interfaces NY, USA. 1999: 190-4.
  • 18 Lee J, Grossman D, Frieder O, McCabe MC. Integrating structured data and text: a multi-dimensional approach. Proc International Conference on Information Technology: Coding and Computing NV, USA; March. 2000: 27-9.
  • 19 Pratt W, Fagan L. The usefulness of dynamically categorizing search results. J Am Med Inform Assoc 2000; December 7 (06) 605-17.
  • 20 Tang YK, Chiang TT. Intelligent retrieval of medical images from the Internet. Proc of Spie: The International Society for Optical Engineering, USA 1996; 2711: 440-8.
  • 21 http://www.viacorp.com/crypto.html
  • 22 Volot F, Joubert M, Fieschi M. Review of biomedical knowledge and data representation with conceptual graphs. Methods Inf Med 1998; January 37 (01) 86-96.
  • 23 Delamarre D, Burgun A, Seka LP, Le Beux P. Automated coding of patient discharge summaries using conceptual graphs. Methods Inf Med 1995; September 34 (04) 345-51.
  • 24 Schroder M. Knowledge based analysis of radiology reports using conceptual graphs. Proc the 7th Annual Workshop on Conceptual Graphs, Santa Cruz, USA. 1992: 445-70.
  • 25 Chu S, Cesnik B. Knowledge representation and retrieval using conceptual graphs and free text document self-organization techniques. Int J Med Inf 2001; July 62: 121-33.
  • 26 Jiang MF, Tseng SS, Tsai CJ. Intelligent query agent for structural document databases. Expert Systems with Applications 1999; 17: 105-13.

Address of the author:

Stephen Chu, PhD, FACS
Associate Professor of Health Informatics
Department of Management Science and Information Systems
University of Auckland
Private Bag 92 019
Auckland, New Zealand

  • References

  • 1 http://www.nlm.nih/gov/pubs/factsheets/online_databases.html
  • 2 Crowe BL, McDonald JG. Evaluation of developments in storage and retrieval systems for health information systems. Proc HIC’99 – 7th National Health Informatics Conference, Hobart, Australia. 1999: 28-31. August
  • 3 Berry D. Combing Boyer-Moore string search with regular expressions. C/C++ User Journal 2000; June 18 (06) 32-7.
  • 4 De Moura SE, Navarro G, Ziviani N, Baeza-Yates R. Fast and flexible word searching on compressed text. ACM Transactions on Information Systems 2000; April 18 (02) 113-39.
  • 5 Lovis C, Baud RH. Fast exact string patternmatching algorithms adapted to the characteristics of the medical language. J Am Med Inform Assoc 2000; August 7 (04) 378-91.
  • 6 Wenzel F. Solution of morphological problems in free text retrieval during segmentation. Nachrichten für Dokumentation 1979; Dec 30 (06) 212-8.
  • 7 Doszhocs TE. Implementing an associative search interface in a large online bibliographic database environment. Proc the 39th FID Congress. 1980: 295-7.
  • 8 Asokan N, Ranka S, Frieder O. A parallel free-text searching system with indexing. Proc International Conference on Databases, Parallel Architecture and their Applications, LA, USA. 1990: 519-21.
  • 9 Cutting D, Pedersen J. Optimizations for dynamic inverted index maintenance. Proc the 13th International Conference on Research and Development in Information Retrieval, NY, USA. 1990: 405-12.
  • 10 Xia L. Designing a visual interface for online searching. Proc The 62nd ASIS Annual Meeting NJ, USA. 1999: 390-5.
  • 11 Ojala M. Research into full-text retrieval. Database 1990; August 13 (04) 78-80.
  • 12 Henzler RG. Free or controlled vocabularies: some statistical user-oriented evaluation of biomedical information. International Classification 1978; March 5 (01) 21-6.
  • 13 King DW, Neel PW, Wood BL. Comparative evaluation of the retrieval effectiveness of descriptor and free text search systems using CIRCOL. Research Report, Westat Research Inc., Rockville, MD, USA; January. 1972
  • 14 Baeza-Yates R, Navarro G. Block addressing indices for approximate text retrieval. J Am Soc Inf Sci 2000; January 51 (01) 69-82.
  • 15 Schulz S, Hahn U. Morpheme-based, crosslingual indexing for medical document retrieval. Int J Med Inf 2000; 8 (59) 87-9.
  • 16 Faragher J. Questions, questions, question and answer software. Information Age. 2001. January 27-31.
  • 17 Skolnick T. Stack search: a graphical search model. Proc International Conference on Intelligent User Interfaces NY, USA. 1999: 190-4.
  • 18 Lee J, Grossman D, Frieder O, McCabe MC. Integrating structured data and text: a multi-dimensional approach. Proc International Conference on Information Technology: Coding and Computing NV, USA; March. 2000: 27-9.
  • 19 Pratt W, Fagan L. The usefulness of dynamically categorizing search results. J Am Med Inform Assoc 2000; December 7 (06) 605-17.
  • 20 Tang YK, Chiang TT. Intelligent retrieval of medical images from the Internet. Proc of Spie: The International Society for Optical Engineering, USA 1996; 2711: 440-8.
  • 21 http://www.viacorp.com/crypto.html
  • 22 Volot F, Joubert M, Fieschi M. Review of biomedical knowledge and data representation with conceptual graphs. Methods Inf Med 1998; January 37 (01) 86-96.
  • 23 Delamarre D, Burgun A, Seka LP, Le Beux P. Automated coding of patient discharge summaries using conceptual graphs. Methods Inf Med 1995; September 34 (04) 345-51.
  • 24 Schroder M. Knowledge based analysis of radiology reports using conceptual graphs. Proc the 7th Annual Workshop on Conceptual Graphs, Santa Cruz, USA. 1992: 445-70.
  • 25 Chu S, Cesnik B. Knowledge representation and retrieval using conceptual graphs and free text document self-organization techniques. Int J Med Inf 2001; July 62: 121-33.
  • 26 Jiang MF, Tseng SS, Tsai CJ. Intelligent query agent for structural document databases. Expert Systems with Applications 1999; 17: 105-13.