[1] Ababa, A. (2006) AIDS in Ethiopia: 6th Report. Federal Ministry of Health National HIV/AIDS Prevention and Control Office.
[2] The Voluntary HIV-1 Counseling and Testing Study Group (2000) Efficacy of Voluntary HIV-1 Counseling and Testing among Individuals and Couples in Kenya, Tanzania, and Trinidad: A Randomized Trial. The Lancet, 356, 103-112. http://dx.doi.org/10.1016/S0140-6736(00)02446-6
[3] UNAIDS (2002) HIV Voluntary Counseling and Testing: A Gateway to Prevention and Care. Five Case Studies Related to Mother-to-Child Transmission of HIV, Tuberculosis, Young People, and Reaching General Population Groups. UNAIDS Case Study.
http://www.unaids.org/en/media/unaids/contentassets/dataimport/publications/irc-pub02/jc729-vct-gateway-cs_en.pdf
[4] WHO (2006) Towards Universal Access: Part II. A Report on “3 by 5” and Beyond.
[5] Lawn, S.D., Myer, L., Orrell, C., Bekker, L.G. and Wood, R. (2005) Early Mortality among Adults Accessing a Community-Based Antiretroviral Service in South Africa: Implications for Programme Design. AIDS, 19, 2141-2148. http://dx.doi.org/10.1097/01.aids.0000194802.89540.e1
[6] Ita, M. (1998) Counseling in Reproductive Health among Young People in the Shitta Community in Lagos State. Abstracts of the XIIth International AIDS Conference, Geneva, 28 June-3 July 1998, Abstract 60857.
[7] Valdiserri, R.O., Holtgrave, D.R. and West, G.R. (1999) Promoting Early HIV Diagnosis and Entry into Care. AIDS, 13, 2317-2330. http://dx.doi.org/10.1097/00002030-199912030-00003
[8] Carpenter, C.C., Fischl, M.A., Hammer, S.M., et al. (1998) Antiretroviral Therapy for HIV Infection: Updated Recommendations of the International AIDS Society-USA Panel. The Journal of the American Medical Association, 280, 78-86. http://dx.doi.org/10.1001/jama.280.1.78
[9] Quinn, T.C., Wawer, M.J., Sewankambo, N., et al. (2000) Viral Load and Heterosexual Transmission of Human Immunodeficiency Virus. The Journal of the American Medical Association, 342, 921-929.
[10] Alwano-Edyegu, M.G. and Marum, E. (1999) Knowledge Is Power: Voluntary HIV Counseling and Testing in Uganda. UNAIDS, Geneva.
[11] Denning, P., Nakashima, A., Wortley, C. and SHAS Project Group (1999) High Risk Sexual Behaviors among HIV-Infected Adolescents and Young Adults. Abstracts of the 6th Conference on Retroviruses and Opportunistic Infections, Chicago, 31 January-4 February 1999.
[12] Assefa, Y., Jerene, D., Lulseged, S., Ooms, G. and Van Damme, W. (2009) Rapid Scale-Up of Antiretroviral Treatment in Ethiopia: Successes and System-Wide Effects. PLoS Medicine, 6, e1000056. http://dx.doi.org/10.1371/journal.pmed.1000056
[13] Kononenko, I. (2001) Machine Learning for Medical Diagnosis: History, State of the Art and Perspective. Artificial Intelligence in Medicine, 23, 89-109.
[14] Koh, H.C. and Tan, G.J. (2005) Data Mining Applications in Healthcare. Journal of Healthcare Information Management, 19, 64-72. http://www.ncbi.nlm.nih.gov/pubmed/15869215
[15] Delen, D., Walker, G. and Kadam, A. (2004) Predicting Breast Cancer Survivability: A Comparison of Three Data Mining Methods. Artificial Intelligence in Medicine, 34, 113-127.
[16] Wang, J., Hu, X.H. and Zhu, D. (2008) Applications of Data Mining in the Healthcare Industry.
http://www.irma-international.org/viewtitle/12924/
[17] Fayyad, U., Piatetsky-Shapiro, G., and Smyth, P. (1996) From Data Mining to Knowledge Discovery in Databases. American Association for Artificial Intelligence, 17, 36-51.
[18] Hand, D., Mannila, H. and Smyth, P. (2001) Principles of Data Mining. The MIT Press, Cambridge.
[19] Azevedo, A. and Santos, M.F. (2008) KDD, SEMMA and CRISP-DM: A Parallel Overview. Proceedings of the IADIS European Conference Data Mining, Amsterdam, 24-26 July 2008, 182-185.
[20] Bigus, J.P. (1996) Data Mining with Neural Networks. McGraw-Hill, New York.
[21] Kurgan, L.A. and Musilek, P. (2006) A Survey of Knowledge Discovery and Data Mining Process Models. The Knowledge Engineering Review, 21, 1-24.
[22] Mining Techniques in Health Care (2011).
[23] Refaat, M. (2007) Data Preparation for Data Mining Using SAS. Morgan Kaufmann Publishers, San Francisco.
[24] Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C. and Wirth, R. (2000) CRISP-DM 1.0: Step- by-Step Data Mining Guide. SPSS, Copenhagen.
[25] Shouman, M., Turner, T. and Stocker, R. (2012) Using Data Mining Techniques in Heartdisease Diagnosis and Treatment. http://www.academia.edu/1543820/
[26] Nabney, I. (2003) Netlab: Algorithms for Pattern Recognition. Springer Verlag, Berlin.
[27] Leke-Betechuoh, B., Marwala, T., Tim, T. and Lagazio, M. (2006) Prediction of HIV Status from Demographic Data Using NNs. Proceedings of the 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, 8-11 October 2006, 2339-2344.
[28] Abraham, T. (2005) Application of Data Mining Technology to Identify Determinant Risk Factors of HIV Infection and to Find Their Association Rules: The Case of Center for Disease Control and Prevention (CDC). Master’s Thesis, Addis Ababa University, Addis Ababa.
[29] Asmare, B. (2009) Application of Data Mining Technology to Support VCT for HIV: A Case of Center for Disease Control and Prevention. Master Thesis, School of Information Science, Addis Ababa University, Addis Ababa.
[30] Lemuye, E. (2011) HIV Status Predictive Modeling Using Data Mining Technology. Master Thesis, AAU School of Information Science and Public Health, Addis Ababa.
[31] Lee, C.W. and Park, J.-A. (2001) Assessment of HIV/AIDS-Related Health Performanceusing an Artificial Neural Network. Information & Management, 38, 231-238.
http://dx.doi.org/10.1016/S0378-7206(00)00068-9
[32] Kwak, N.K. and Lee, C. (1997) A Neural Network Application to Classification of Health Status of HIV/AIDS Patient. Journal of Medical Systems, 21, 87-97.
http://dx.doi.org/10.1023/A:1022890223449
[33] Han, J. and Kamber, M. (2006) Data Mining: Concepts and Techniques. 2nd Edition, Morgan Kaufmann Publishers, San Francisco.
[34] Liu, H. and Motoda, H. (1998) Feature Selection for Knowledge Discovery and Data Mining. Springer, Berlin.
[35] Famili, A. and Turney, P. (1997) Data Preprocessing and Intelligent Data Analysis. Institute of Information Technology, National Research Council Canada.
[36] Chakrabarti, S., Cox, E., Frank, E., Hartmut, G.R., Han, J., Jiang, X., Kamber, M. and Witten, I. (2009) Data Mining: Know It All. Morga Kaufmann Publishers, Burlington, San Francisco.
[37] Kantardzic, M. (2003) Data Mining: Concepts, Models, Methods, and Algorithms. John Wiley & Sons, Hoboken.
[38] Brachman, R. J. and Anand, T. (1996) The Process of Knowledge Discovery in Databases.
[39] Zurada, J.M. (1992) An Introduction To Artificial Neural Networks Systems. West Publishing, St. Paul.
[40] Lu, H., Setiono, R. and Liu, H. (1996) Effective Data Mining Using Neural Networks. IEEE Transactions on Knowledge and Data Engineering, 8, 957-961.
[41] Roberts, A. (2005) AI32: Guide to Weka.
[42] Witten, I.H. and Frank, E. (2005) Data Mining: Practical Machine Learning Tools and Techniques. 2nd Edition, Morgan Kaufmann Publishers, San Francisco.
[43] Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984) Classification and Regresion Trees.
[44] Shafer, J., Agrawal, R. and Mehta, M. (1996) SPRINT: A Scalable Parallel Classifier for Data Mining. Proceedings of the 22th International Conference on Very Large Data Bases, Mumbai, 3-6 September 1996, 544-555.
[45] Predictive Modeling. http://searchdatamanagement.techtarget.com/definition/predictive-modeling
[46] Spaulding, A.B., Brickley, D.B., Kennedy, C., Almers, L., Packel, L., Mirjahangir, J., Kennedy, G., Collins, L., Osbornee, K. and Mbizvo, M. (2009) Linking Family Planning with HIV/AIDS Interventions: A Systematic Review of the Evidence. AIDS, 23, S79-S88.