Ababa, A. (2006) AIDS in Ethiopia: 6th Report. Federal Ministry of Health National HIV/AIDS Prevention and Control Office.
 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
 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
 WHO (2006) Towards Universal Access: Part II. A Report on “3 by 5” and Beyond.
 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
 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.
 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
 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
 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.
 Alwano-Edyegu, M.G. and Marum, E. (1999) Knowledge Is Power: Voluntary HIV Counseling and Testing in Uganda. UNAIDS, Geneva.
 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.
 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
 Kononenko, I. (2001) Machine Learning for Medical Diagnosis: History, State of the Art and Perspective. Artificial Intelligence in Medicine, 23, 89-109.
 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
 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.
 Wang, J., Hu, X.H. and Zhu, D. (2008) Applications of Data Mining in the Healthcare Industry. http://www.irma-international.org/viewtitle/12924/
 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.
 Hand, D., Mannila, H. and Smyth, P. (2001) Principles of Data Mining. The MIT Press, Cambridge.
 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.
 Bigus, J.P. (1996) Data Mining with Neural Networks. McGraw-Hill, New York.
 Kurgan, L.A. and Musilek, P. (2006) A Survey of Knowledge Discovery and Data Mining Process Models. The Knowledge Engineering Review, 21, 1-24.
 Mining Techniques in Health Care (2011).
 Refaat, M. (2007) Data Preparation for Data Mining Using SAS. Morgan Kaufmann Publishers, San Francisco.
 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.
 Shouman, M., Turner, T. and Stocker, R. (2012) Using Data Mining Techniques in Heartdisease Diagnosis and Treatment. http://www.academia.edu/1543820/
 Nabney, I. (2003) Netlab: Algorithms for Pattern Recognition. Springer Verlag, Berlin.
 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.
 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.
 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.
 Lemuye, E. (2011) HIV Status Predictive Modeling Using Data Mining Technology. Master Thesis, AAU School of Information Science and Public Health, Addis Ababa.
 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
 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
 Han, J. and Kamber, M. (2006) Data Mining: Concepts and Techniques. 2nd Edition, Morgan Kaufmann Publishers, San Francisco.
 Liu, H. and Motoda, H. (1998) Feature Selection for Knowledge Discovery and Data Mining. Springer, Berlin.
 Famili, A. and Turney, P. (1997) Data Preprocessing and Intelligent Data Analysis. Institute of Information Technology, National Research Council Canada.
 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.
 Kantardzic, M. (2003) Data Mining: Concepts, Models, Methods, and Algorithms. John Wiley & Sons, Hoboken.
 Brachman, R. J. and Anand, T. (1996) The Process of Knowledge Discovery in Databases.
 Zurada, J.M. (1992) An Introduction To Artificial Neural Networks Systems. West Publishing, St. Paul.
 Lu, H., Setiono, R. and Liu, H. (1996) Effective Data Mining Using Neural Networks. IEEE Transactions on Knowledge and Data Engineering, 8, 957-961.
 Roberts, A. (2005) AI32: Guide to Weka.
 Witten, I.H. and Frank, E. (2005) Data Mining: Practical Machine Learning Tools and Techniques. 2nd Edition, Morgan Kaufmann Publishers, San Francisco.
 Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984) Classification and Regresion Trees.
 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.
 Predictive Modeling. http://searchdatamanagement.techtarget.com/definition/predictive-modeling
 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.