The Colorectal Cancer Recurrence Support (CARES) System

Artificial Intelligence in Medicine

Volumn 11, Issue 3, 1997, Pages 175-188

  Ong, Lean Suan ^a   Shepherd, Barry ^a   Tong, Loong Cheong ^a   Seow Choen, Francis ^b   Ho, Yik Hong ^b   Tang, Choong Leong ^b   Ho, Yin Seong ^a   Tan, Kelvin ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE GENERAL HOSPITAL   (Singapore)

Author keywords

Case based reasoning; Colorectal cancer prediction; Recurrence

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED DIAGNOSIS; DECISION SUPPORT SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; ONCOLOGY;

CANCER RECURRENCE SUPPORT (CARES) SYSTEMS;

KNOWLEDGE BASED SYSTEMS;

CANCER RECURRENCE; COLORECTAL CANCER; DATA BASE; EXPERT SYSTEM; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LANGUAGE; PREDICTION; PRIORITY JOURNAL; REVIEW; RISK ASSESSMENT;

EID: 0031282194     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(97)00029-8     Document Type: Article

References (17)

1. A.W. Malcolm, N.P. Perencevich, R.M. Olson, et al., Analysis of recurrence patterns following curative resection for carcinoma of the colon and rectum, Surg. Gynecol. Obstet. 152 (1981) 131-137.
2. K. Woolfson, Tumor markers in cancer of the colon and rectum, Dis. Colon Rectum 34 (6) (1991) 506-511.
3. H.S. Goh, C.R. Goh, A. Rauff, W.C. Foong, Clinico-pathological prognostic factors of large bowel cancer in Singapore: a multivariate analysis, Ann. Acad. Med. Singapore 16 (1987) 437-440.
4. J. Kolodner, Case-Based Reasoning, Morgan Kaufmann, San Mateo, CA, 1993.
5. Cognitive Systems, ReMind Developer's Reference Manual, Boston, 1992.
6. E. Fix, J.L. Hodges Jr., Discriminatory analysis: non-parametric discrimination, consistency properties, USAF School of Aviation Medicine, Randolph Field, Texas, Project 21-49-004, Rept. No. 4, February 1951.
7. E. Fix, J.L. Hodges Jr. Discriminatory analysis: small sample performance, USAF School of Aviation Medicine, Randolph Field, Texas. Project 21-49-004, Rept. No. 11, August 1952.
8. L. Breiman, J.H. Friedman, R.A. Olshen and C.J. Stone, Classification and Regression Trees. Wadsworth International Group, Belmont, CA, 1984.
9. G. Steele Jr., Follow-up plans after treatment of primary colon and rectum cancer, World J. Surg. 15 (1991) 583-588.
10. M. Griffin, E. Bergstral Jr., R. Coffey, R. Beart, J. Melton, Predictors of survival after curative resection of carcinoma of the colon and rectum, Cancer 60 (1987) 2318-2324.
11. S. Stipa, V. Nicolanti, C. Botti, et al., Local recurrence after curative resection for colorectal cancer: frequency, risk factors and treatment, J. Surg. Oncol. 2 (Suppl.) (1991) 155-160.
12. Integral Solutions Ltd, Clementine Data Mining System, User Guide Version 2.0, 1994.
13. J.R. Quinlan, Induction of decision trees, Machine Learning 1 (1986) 81-106.
14. J.R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufman, San Mateo, CA, 1993.
15. L.C.Tong, L.K. Wee, A. Gunawan, A.L. Goh, C.Q. Lee, H.L. Shu, A pragmatic information extraction architecture for the Message Formatting Expert (MFE) System, in: Proceedings 2nd International Conference on Intelligent Systems (SPICIS-94), Singapore, 1994.
16. Johnson, P. A case-based reasoning paradigm for mining financial databases, in: Freedman, R. (Ed.), Proceedings of the Second International Conference on Artificial Intelligence Applications on Wall Street Software Engineering Press, Gaithersburg, MD, 1993.
17. P. Buta, Mining for financial knowledge with CBR, AI Expert February (1994) 34-41.