Data Mining Machine Learning Approaches and Medical Diagnose Systems : A Survey
 |
International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2012 by IJCOT Journal | ||
| Volume-2 Issue-3 |
||
| Year of Publication : 2012 | ||
| Authors : N.Satyanamdam,Dr. Ch. Satyanarayana ,Md.Riyazuddin , Amjan.Shaik |
- N.Satyanamdam,Dr. Ch. Satyanarayana ,Md.Riyazuddin , Amjan.Shaik Article:Data Mining Machine Learning Approaches and Medical Diagnose Systems : A Survey . International Journal of Computer & organization Trends (IJCOT), V2(3):1-8 May - Jun 2012. Published by Seventh Sense Research Group.
Abstract
Data mining technology provides a user- oriented approach to novel and hidden patterns in the data. Data mining is a process which finds useful patterns from large amount of data. This technology has been successfully applied in Engineering and Technology, Science, Health Care Systems, Medical Diagnose Systems, Marketing and Finance to assist new discoveries and fortify markets. Some of the organizations have adapted this technology to progress their businesses and found outstanding results. In this paper we discussed a broad overview of some of the data mining techniques, their use in various emerging algorithms and applications. It provides an impression of the development of smart data analysis in medicine from a machine learning irrespective.
References
[1].Baim P.W., A Method for Attribute Selection Inductive Learning Systems, IEEE Trans. on PAMI, Vol.10, No. 6, 1988, pp.888-896.
[2].Bevk M., Kononenko I., Zrimec T., Relation between energetic diagnoses and GDV images, Proc. New Science of Consciousness: 3rd Int Conf. on Cognitive Science, Ljubljana, October 2000, pp. 54- 57.
[3].Bratko I., Mozeti?c I., Lavra?c N., KARDIO: A study in deep and qualitative knowledge for expert systems, Cambridge,MA: MIT Press, 1989.
[4].Bratko I., Mulec P., An Experiment in Automatic Learning of Diagnostic Rules, Informatica, Ljubljana, Vol.4, No.4, 1980, pp. 18-25. [5].Breiman L., Friedman J.H., Olshen R.A., Stone C.J. (1984) Classification and Regression Trees, Wadsforth International Group.
[6[.Catlett J., On changing continuous attributes into ordered discrete attributes, Proc. European Working Session on Learning-91, Porto, March 4-6, 1991, pp. 164-178.
[7].Cestnik B., Estimating Probabilities: A Crucial Task in Machine Learning, Proc. European Conf. on Artificial Intelligence, Stockholm, August, 1990, pp. 147-149.
[8].Cestnik B., Kononenko I.& Bratko I., ASSISTANT 86 : A knowledge elicitation tool for sophisticated users, in: I.Bratko, N.Lavrac (eds.): Progress in Machine learning, Wilmslow: Sigma Press, 1987. [9].Chan K.C.C. & Wong A.K.C., Automatic Construction of Expert Systems from Data: A Statistical Approach, Proc. IJCAI Workshop on Knowledge Discovery in Databases, Detroit, Michigan, August, 1989, pp.37-48.
[10].Clark P. & Boswell R., Rule Induction with CN2: Some Recent Improvements, Proc. European Working Session on Learning-91, Porto, Portugal, March, 1991, pp.151-163.
[11].Craven M.W. and Shavlik J.W., Learning symbolic rules using artificial neural networks, Proc. 10th Intern. Conf. on Machine Learning, Amherst, MA, Morgan Kaufmann, 1993, pp.73-80.
[12].Diamond G.A. and Forester J.S., Analysis of probability as an aid in the clinical diagnosis of coronary artery disease, New England J. of Medicine, 300:1350, 1979. [13].Elomaa T., Holsti N., An Experimental Comparison of Inducing Decision Trees and Decision Lists in Noisy Domains, Proc. 4th European Working Session on Learning, Montpeiller, Dec. 4-6, 1989, pp.59-69.
[14].Good I.J., Probability and the Eeighing of Evidence. London: Charles Griffin, 1950.Good I.J., The Estimation of Probabilities.
[15]. Jiawei Han and Micheline Kamber (2006), Data Mining Concepts and Techniques, published by Morgan Kauffman, 2nd edition.
[16].Dr. Gary Parker, vol 7, 2004, Data Mining: Modules in emerging fields, CD-ROM.
[17]. Bharati M. Ramageri / Indian Journal of Computer Science and Engineering,Vol. 1 No. 4 301-305.
[18].”Knowledge Management, Data Mining and Text Mining in Medical Informatics” Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, and William Hersh, Medical Informatics and Clinical Epidemiology, Portland, Oregon 97239-3098.
[19]. Abidi, S. S. R. (2001). “Knowledge Management in Healthcare:Towards ‘Knowledge driven’ Decision support Services,” International Journal of Medical Informatics, 63, 5-18. .
Keywords
Machine learning, Data Mining, Clustering, Classification, Health care System.