The analysis of cancer survival is used to determine the efficiency of treatment programmes and protocols; it is also used to determine the type of treatment. At the individual level a prediction of cancer survival can help patients make informed decisions with regards to their quality of life and future finances. Currently available prediction methods apply to groups of people, and may not be adequate to predict treatment outcome for individual patients. This paper presents a conceptual model of a cancer knowledge base incorporating a computer-based predictor for survival. It proposes the use of an artificial neural network (ANN) as an alternative tool for investigating cancer survival. The focus of this research will be on nasopharyngeal carcinoma survival data collected in Malaysia.
References
1.
Ohno-Machado L.Neural network techniques: utilization in medical prognosis. Electronic copy of review, 1999.
2.
Bland M.An Introduction to Medical Statistics. Oxford: Oxford Medical Publications, 1987.
3.
Ohno-Machado L. Medical applications of neural networks: connectionist models of survival. PhD thesis, Section in Medical Informatics, Stanford University, 1996.
4.
Burke H B, Rosen D B, Goodman P H.Comparing the prediction accuracy of statistical models and artificial neural network in breast cancer. NIPS*94 Post-Conference Workshop, 1994.
5.
Burke H B, Rosen D B, Goodman P H.Artificial neural networks improve the accuracy of cancer survival prediction. Cancer1997; 79: 857-862.
6.
Burke H B, Rosen D B, Goodman P H.Predicting response to adjuvant and radiation therapy in patients with early stage breast carcinoma. Cancer1998; 82: 874-877.
7.
8.
Chia K S. and Lee H P, 1997. Epidemiology. In Nasopharyngeal Carcinoma, ed. V H Chong and S Y Tsao, pp. 1-5. Singapore: Armour Publishing.
9.
Dilling T J.Dennitis A.Goldwein J. ed. Benjamin I, Goldwein J, 1999. ‘The Nature of Cancer—Characteristics of Malignant Cells’. Pennsylvania. (Web Publication) http://oncolink.upenn.edu/specialty/med_onc/nature_cancer.html%23Characteristics_of_Malignant_Cells
10.
‘What is cancer of the nasopharynx?’NCI PDQ, Nasopharyngeal Cancer 1999 - http://cancernet.nci.nih.gov/clinpdq/pif/Nasopharyngeal_cancer_Patient.html%235
11.
Dunn S.Basic information on cancer. Cancerguide, 1997 - http://cancerguide.org/basic.html
12.
American Joint Committee on Cancer (AJCC).1998. AJCC Cancer Staging Manual, ed. Fleming I D.Cooper J S.Henson D E.R V P Hutter, pp. 1-41. Lippincott-Raven.
13.
Nasopharynx. Human Anatomy Online, 1992 - http://www.innerbody.com/text/nerv135.html
Collet D.Modelling Survival Data in Medical Research. London: Chapman & Hall, 1994.
16.
Elandt-Johnson R C, Johnson N L.Survival Models and Data Analysis, pp. 50-83. Chichester: John Wiley, 1976.
17.
Lee E T.1992. Statistical Methods for Survival Analysis, California: Lifetime Learning Publications.
18.
Swinscow T D V.Survival Analysis, Statistics at Square One, British Medical Journal (electronic version) 1999 - http://www.bmj.com/collections/statsbk/12.html
19.
Data Mining with Statistica. Statsoft Inc, 1999 - http://www.statsoft.com
