138
Views
5
CrossRef citations to date
0
Altmetric
ARTICLES

Improving diagnostic accuracy using agent-based distributed data mining system

Pages 182-195 | Published online: 07 Sep 2012

References

  • Sridhar S, Kumaravel N, Easwarakumar K. Segmentation of renal calculi in ultrasound images. Medical Informatics and the Internet in Medicine 2002; 27(4):229–236.
  • Sridhar S. Digital image processing (2nd edn). New Delhi: Oxford University Press; 2012.
  • Vasanthy N, Madhavan R, Parthiban M, Rajendran P, Porkodi R, Sridhar S, Kumaravel N. Analysis of profile of auto antibodies in systematic lupus erythematosus using data mining techniques. Journal of Indian Rheumatology Association 2002; 10(1):8.
  • Danny BL, Mitsuru O. Programming and deploying mobile agents with Java aglets. New York: Addison Wesley; 1998.
  • Ian HW, Eibe F. Machine learning algorithms in Java. New York: Morgan Kaufman;1999.
  • Shusaku T. Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Information Sciences 2000; 124:125–137.
  • Chieng-Chang H, Cheng-Seen H. Acquiring patient data by an intelligent interface agent with medicine-related common sense reasoning. Expert Systems With Application 1999; 17(4):257–274.
  • Fernando A, Juan P, Caraca V, Cesar M. Combining expert knowledge and data mining in a medical diagnosis domain. Expert Systems With Application 2002; 23:367–375.
  • Sridhar S, Kumaravel N. Expert systems for renal calculi analysis. Proceedings of AIET'2002, Universitti Malaysia Sabah Malaysia, 2002:540–543.
  • Sridhar, S, Kumaravel N. Internet based expert systems for management of gall, renal, ureteric and bladder calculi. Biomedical Sciences Instrumentation 2003;39:36–41.
  • Quinlan JR. C4.5: Programs for machine learning. San Mateo: Morgan Kaufmann.
  • Cohen W. Fast effective rule induction. International Conference on Machine Learning Tahoe City, 1995; 115–123.
  • Clark P, Niblett T. The CN2 induction algorithm, Machine Learning 1989; 3(4):261–283.
  • Freund Y, Schapire RE. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 1995; 55(1):119–139.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.