Implementation of Dynamic Bayseian Classifier for Cancer Prediction

Authors

  • Trupti Brahmapurikar  BE Scholars, Department of Information Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Amrapali Patil  BE Scholars, Department of Information Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Swati Dharale  BE Scholars, Department of Information Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Vishakha Patil  BE Scholars, Department of Information Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Prof. Alok Chauhan  Assistant Professor, Department of Information Technology, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India

Keywords:

Cancer, Data Mining, Clustering, Classification, Decision Tree.

Abstract

Cancer is one of the real issue today; diagnosing cancer in prior stage is yet trying for specialists. Recognizable proof of hereditary and ecological variables is critical in creating novel strategies to identify and avert cancer. Along these lines, a novel multi layered strategy-joining clustering and decision tree procedure is utilized to manufacture a cancer risk prediction system. The proposed system is predicts lung, bosom, oral, cervix, stomach and blood cancers and it is easy to use and cost sparing. This examination utilizes data mining strategies, for example, classification, clustering and prediction to distinguish potential cancer patients. We have proposed this cancer prediction system in view of data mining strategies. This system evaluates the risk of the bosom cancer in the prior stage. This system is approved by contrasting its anticipated outcomes and patient's earlier medical data. The fundamental point of this model is to give the prior notice to the clients and it is likewise fetched proficient to the client. At last, a prediction system is created to break down risk levels, which help in guess. This examination helps in location of a man's inclination for cancer before going for clinical and lab tests which is cost and tedious.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 4, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Trupti Brahmapurikar, Amrapali Patil, Swati Dharale, Vishakha Patil, Prof. Alok Chauhan, " Implementation of Dynamic Bayseian Classifier for Cancer Prediction, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.379-384, March-April-2018.