Disease diagnosis validation in TROPIX using CBR

Artificial Intelligence in Medicine

Volumn 12, Issue 1, 1998, Pages 43-60

  Ochi Okorie, A Sunny ^a  

^a UNIVERSITY OF LOUISIANA AT LAFAYETTE   (United States)

Author keywords

Case library; Classification; Clustering; Data filtering; Diagnosis; Disease; TROPIX; Validation

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; DATA STORAGE EQUIPMENT; DECISION THEORY; DISEASES; FUNCTIONS; HEALTH CARE; MATHEMATICAL MODELS; MATRIX ALGEBRA; MEDICAL APPLICATIONS; STATISTICAL METHODS; VECTORS;

ASSOCIATION BASED REASONING (ABR); CASED BASED REASONING (CBR); DISEASE DIAGNOSIS VALIDATION; EVIDENCE RATIO FACTORS (ERF); MATCHED VECTOR FUNCTIONS (MVF); SINGULAR VALUE DECOMPOSITION (SVD);

ARTIFICIAL INTELLIGENCE;

ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; COMPUTER SYSTEM; HEALTH CARE DELIVERY; HUMAN; MEDICAL DECISION MAKING; NIGERIA; PRIORITY JOURNAL; PUBLIC HOSPITAL; RURAL AREA; URBAN AREA; VALIDATION PROCESS;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; FORECASTING; HUMANS;

EID: 0031884634     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(97)00039-0     Document Type: Article

References (15)

1. A. Aamodt, A knowledge-intensive approach to problem solving and sustained learning, Ph.D. dissertation, University of Trondheim, Norwagian Institute of Technology, University Microfilms PUB 92-08460, 1991.
2. A. Aamodt, E. Plaza, Case-based reasoning: fundamental issues, methodological variations, and system approaches, Artif. Intell. Commun. 7 (1) (1994).
3. D. Aha, D. Kibler, M.K. Albert, Instance-based learning algorithms, Mach. Learn. 6 (1) (1991).
4. J. Berger, Roentgen: radiation therapy and case-based reasoning, in: Proceeding of the Tenth Conference on Artificial Intelligence for Applications, IEEE Computer Society Press, Los Alamitos, California, 1994.
5. B.G. Buchanan, E.H. Shortlife (Eds), Rule-Based Expert Systems: The MYCIN experiments of the Stanford Heuristic Programming Project, Addison-Wesley, Reading, MA, 1984.
6. C. Chatfield, A.J. Collins, Introduction to multivariate analysis, Chapman and Hall in association with Methuen, New York, 1980.
7. J. Edward Jackson, A User's Guide to Principal Components, Wiley, New York, 1991.
8. S. Joly, G. Le Calve', Similarity functions, in: B.V. Cutsem (Ed.), Lecture Notes in Statistics: Classification and Dissimilarity Analysis, Springer, New York, 1994, pp. 67-86.
9. C.E. Khan, Jr., G.M. Anderson, Preliminary Investigation: Case-Based Reasoning and Image Procedure Selection, Invest. Radiol. 29 (6), J.B. Lippincott, 1994, pp. 643-647.
10. A.S. Ochi-Okorie, Modelling and design of an expert system for the diagnosis and treatment of typical tropical diseases, Ph.D. Dissertation, Federal University of Technology Owerri, with Bench Work at CACS, The USL, December, 1996.
11. A.S. Ochi-Okorie, Combining medical records with case-based reasoning in a mixed paradigm design, in: D. Leake, E. Plaza (eds.), TROPIX Architecture and Implementation, ICCBR'97, in LNAI, Springer, New York, 1997.
12. E.T.O. Opiyo, Case-based reasoning for expertise relocation in support of rural health workers in developing countries, in: M. Veloso, A. Aamodt (eds.), LNAI 1010 - CBR R and D, Proceedings of the First International Conf., ICCBR-95, Portugal, 1995, pp. 77-86.
13. Pawlak Z., Grzymala-Busse J., Slowinski R., Ziarko W. Rough sets. Commun. ACM. 38(11):1995;89-95.
14. R. Reyment, K.G. Jrenskog, Applied Factor Analysis in the Natural Sciences, Cambridge University Press, New York, 1993.
15. Z. Xiang, Multi-model based diagnostic reasoning, Ph.D. Dissertation, State University of New York, Bufallo, NY, 1988, pp. 88-17.