Classification and regression tree in prediction of survival of AIDS patients

Malaysian Journal of Computer Science

Volumn 23, Issue 3, 2010, Pages 153-165

  Kareem, Sameem Abdul ^a   Raviraja, S ^a   Awadh, Namir A ^a   Kamaruzaman, Adeeba ^b   Kajindran, Annapurni ^b  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b UNIVERSITY MALAYA MEDICAL CENTRE   (Malaysia)

Author keywords

AIDS survival; ANN; CART; Medical decision making; Medical informatics; Medical prognosis

Indexed keywords

EID: 78650907106     PISSN: 01279084     EISSN: None     Source Type: Journal    
DOI: 10.22452/mjcs.vol23no3.2     Document Type: Article

References (23)

1. Breiman, L., J.H. Fried man, R.A. Olshen, and C.J. Stone. 1984. Classification and regression trees. Monterey, Calif., U.S.A.: Wadsworth, Inc.
2. Collet, D., Modeling Survival Data in Medical Research, ed. C. Chatfield, J.V. Zidek. London: Chapman & Hall,1994.
3. Elandt-Johnson, R.C., Johnson, N.L., Survival Models and Data Analysis. John Wiley & Sons, pp.50-83,1976.
4. Lee, E.T., Statistical Methods for Survival Analysis, Lifetime Learning Publications, pp 9-18, California, 1980.
5. CART FAQ http://clearinghouse.wayne.edu/oldsite/downloads/CARTFAQ.pdf (Accessed, May 2009).
6. Swinscow, T.D.V., 1999, "Survival analysis", Statistics at Square One, British Medical Journal (electronic version. Available:http://www.bmj.com/collections/statsbk/12.html.
7. Ohno-Machado, L., "Neural network techniques: utilization in medical prognosis", Electronic Copy of Review. [Emailed by Ohno-Machado],1999.
8. Ohno-Machado, L., Musen, M.A., "Sequential versus standard neural networks for temporal pattern recognition: an example using the domain of coronary heart disease", Stanford University. Technical Report. School of Medicine. Medical Computer Science. Knowledge Systems Laboratory. 1996.
9. Ohno-Machado, L., 1994, "Identification of low frequency patterns in backpropagation neural network", Technical Report, Section in Medical Informatics, Stanford University.
10. Ohno-Machado, L., Walker, M.G., Musen, M.A., 1994, "Hierarchical neural networks for survival analysis", Technical Report, Section in Medical Informatics, Stanford University.
11. Tan DB, Yong YK, Tan HY, Kamarulzaman A, Tan LH, Lim A, James I, French M, Price P. Immunological profiles of immune restoration disease presenting as mycobacterial lymphadenitis and cryptococcal meningitis. HIV Med. 2008 May;9(5):307-16.
12. Fadzelly AB, Asmah R, Fauziah O. Effects of Strobilanthes crispus tea aqueous extracts on glucose and lipid profile in normal and streptozotocin-induced hyperglycemic rats. Plant Foods Hum Nutr. 2006 Mar;61(1):7-12.
13. Mohammad Z, Naing NN. Characteristics of HIV-infected tuberculosis patients in Kota Bharu Hospital, Kelantan from 1998 to 2001. Southeast Asian J Trop Med Public Health. 2004 Mar;35(1):140-3.
14. United Nations General Assembly Special Session on HIV/AIDS, December 2005, "Monitoring the Declaration of Commitment on HIV/AIDS" Country Report MALAYSIA.
15. M. Bonarek, "Prognostic score of short-term survival in HIV-infected patients admitted to medical intensive care units (MICUs)". International Conference AID; abstract no: MoPeB2183, July 2000.
16. Hanson DL; Horsburgh CR Jr; Fann SA; Havlik JA; Thompson SE 3d; "Survival prognosis of HIV-infected patients", Division of HIV/AIDS, Centers for Disease Control, Atlanta,; Georgia 30333. AIDSLINE MED/93267399. Jun 1993.
17. Matthias Egger, Margaret May, Geneviève Chêne, Andrew N Phillips, Bruno Ledergerber, François Dabis, Dominique Costagliola, Antonella D'Arminio Monforte, Frank de Wolf, Peter Reiss, Jens D Lundgren, Amy C Justice, Schlomo Staszewski, Catherine Leport, Robert S Hogg, Caroline A Sabin, M John Gill, Bernd Salzberger, Jonathan A C Sterne, and the ART Cohort Collaboration," Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: a collaborative analysis of prospective studies". THE LANCET • Vol 360 • July 13, 2002.
18. K Porter, A G Babiker, J H Darbyshire, P Pezzotti, K Bhaskaran, A S Walker, "Determinants of survival following HIV-1 seroconversion after the introduction of HAART". THE LANCET • Vol 362, October 2003.
19. Ohno-Machado, L., "Medical applications of neural networks: connectionist models of survival". PhD Thesis, Section in Medical Informatics, Stanford University. Palo Alto, California, 1996.
20. Norazmi MN, Suarn S. Disparity in the percentage of CD4+ T lymphocytes and prognosis of HIV-infected intravenous drug users in Malaysia. Immunol Lett. 1994 Dec;43(3):177-82.
21. Sameem Abdul Kareem, "Application Of Artificial Neural Network For The Prognosis Of Nasopharyngeal Carcinoma", Ph.D. Thesis, University of Malaya, 2002.
22. Seong Ho Park, Jin Mo Goo, Chan-Hee Jo, Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists. Korean J Radiol 5(1), March 2004, pp 11-18.
23. Sameem Abdul Kareem, Sapiyan Baba, Yong Zulina Zubairi, Mohd Ibrahim A Wahid, "Prognostic Systems For NPC: A Comparison Of The Multi Layer Perceptron Model And The Recurrent Model". Proceedings of The 9th International Conference on Neural Information Processing 18th -22nd November, Singapore, 2002.