Knowledge discovery for advanced clinical data management and analysis

Studies in Health Technology and Informatics

Volumn 68, Issue , 1999, Pages 409-413

  Babic, Ankica ^a,b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL RESEARCH; EXPERT SYSTEMS; INFORMATION MANAGEMENT;

DATA MINING METHODS; DEPENDENCY MODELLING; DEVIATION DETECTION; EVALUATION OF KNOWLEDGE; KNOWLEDGE DISCOVERY PROCESS; PREDICTIVE MODELLING; PRIMARY HEALTHCARE; USER FRIENDLINESS;

DATA MINING;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; DATA BASE; EXPERT SYSTEM; FEEDBACK SYSTEM; HUMAN; INFORMATION PROCESSING; MEDICAL RECORD; RESEARCH; REVIEW;

ARTIFICIAL INTELLIGENCE; DATA COLLECTION; DATABASE MANAGEMENT SYSTEMS; EXPERT SYSTEMS; FEEDBACK; HUMANS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; NEURAL NETWORKS (COMPUTER); RESEARCH;

EID: 0033252496     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-912-7-409     Document Type: Conference Paper

References (22)

1. Fayyad U, Piatetsky-Shapiro G. and Smyth P.(1995), From Knowledge Discovery to Data Mining: An overview, a chapter in Advances in Knowledge Discovery and Data Mining, U M Fayyad, G Piatetsky-Shapiro, P J Smyth and R Uthurusamy (Eds.) AAAI/MIT Press
2. Wu X, Knowledge Acquisition from Data Bases, PhD Thesis 176, pp, Dept of Artificial Intelligence, University of Edinburgh, Edinburgh, Scotland, 1993.
3. Wu X., K Eshell: An Intelligent Learning Data Base System, Research and Development in Expert Systems IX, M A Bramer and R W Milne (Eds) Cambridge University Press, UK 1992.
4. Wu X, Inductive Learning: Algorithms and Frontiers, Artificial Intelligence review, 7 (1993), 2:93-108.
5. Wu X, Research Issues in Intelligent Learning Database Systems, Proceedings of the Seventh Annual Florida Al Research Symposium, Pensacola Beach, Florida, USA May 5-7, 1994.
6. Wu X, Book: Knowledge Acquisition from databases, Ablex, USA, 1995.
7. Babic Ankica. Medical knowledge extraction, Application of data analysis methods to support clinical decisions. PhD. dissertation. No. 322, Linkoping University, 1993.
8. Babic A, Aahlfeld H, Wigertz O, Bodemar G, Mathiesen U. Artificial neural networks in clustering and classification data on unspecified liver diseases. Xlth Nordic Meeting on Medical and Biological Engineering, Lund, Sweden, p 136, 1993.
9. Babic A, Krusinska E, Stromberg J.-E. Extraction of diagnostic rules using recursive partitioning systems. A Comparison of Approaches. Artificial Intelligence in Medicine, 4:373-387, Elsevier, 1992.
10. Babic A. Case Studies in Machine Learning for Medical Knowledge Extraction. The SAIS94, Swedish artificial Intelligence workshop, Ronneby, Sweden, 1994
11. Babic A, Bodemar G, Mathiesen U, Aahlfeldt H, Franzen L, Wigertz O. Machine Learning to Support Diagnostics in the Domain of Asymptomatic Liver Disease. In R.A. Greeneset al. (Eds) MEDINFO'95 Proceedings, IMIA, 8th Wrold Congress on Medical Informatics, Vancouver, Canada, pp 809-813, 1995
12. Zganec M, Babic A., M Us-Krasovec, B Palcic. 3D Presentation of the nuclear cell features in quantitative cytometry. In Proc AMIA Annual Fall Symposium, Washington DC, James J Cimino, ed. Hanley & Belfus, 1996, pp 679-683.
13. Siska A, Babic A., Pavesic N., Studies of responsiveness in the R-EGFR and Rcerb-B2 oncogenes spaces: a customized application for thyroid lesions. In Proc MIE'97, Technology and Informatics 43, C Pappas, N Maglaveras, J-R Scherrer eds, Greece. IOS Press, Netherlands, 1997, pp 634-637.
14. Matheus C, Chan P, G Piatetsky-Shapiro, Systems for Knowledge Discovery in Databases, Special Issue on Learning and Discovery in Databases, IEEE Transactions on Knowledge and Data Engineering, Dec. 1993
15. Parsaye K. and Chignell M, 1993. Intelligent Database Tools & Applications, John Wiley.
16. N Cerone and M Tsuchiya, guest editors, Special Issue on Learning and Discovery in Databases, IEEE Transactions on Knowledge and Data Engineering, 5(6) Dec 1993.
17. G Piatetsky-Shapiro, guest editor, Special issue on Knowledge Discovery in Databases and Knowledge Bases, International Journal of Intelligent Systems, Vol 7, no 7, Sep 1992
18. G Piatetsky-Sharpio, guest editor, Special issue on Knowledge Discovery in Databases, Journal of Intelligent Information Systems, 3(4), Dec 1994,.
19. Harrell Jr FE, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-87.
20. Higgins TL, Estafanous FG, Loop FD, Beck GJ, Blum JM, Paranandi L. Stratification of morbidity and mortality outcome by preoperative risk factors in coronary artery bypass patients. A clinical severity score [published erratum appears in jama 1992 oct 14;268(14):1860] [see comments]. JAMA 1992;267:2344-8.
21. O'Connor G.T., Plume S.K., Olmstead E.M., Morton J.R., Maloney C.T., Nugent W.C, Hernandez F., Clough R., Leavitt, B.J., Coffin L.H, Marrin C.A.S., Wennberg J.E., Birkmeyer J.D., Charlesworth D.C., Malenka D.J., Quinton H.B., Kasper J.F., A Regional Intervention to Improve the Hospital Mortality Associated With Coronary Artery Bypass Graft Surgery, JAMA 1996, 275: 841-6.
22. Iezzoni LI, Ash AS, Shwartz M, Daley J, Hughes JS, Mackiernan YD. Predicting who dies depends on how severity is measured: implications for evaluating patient outcomes [see comments]. Ann Intern Med 1995;123:763-70.