Implementation of Dynamic Bayseian Classifier for Cancer Prediction

Authors(5) :-Trupti Brahmapurikar, Amrapali Patil, Swati Dharale, Vishakha Patil, Prof. Alok Chauhan

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 379-384
Manuscript Number : CSEIT1833374
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Trupti Brahmapurikar, Amrapali Patil, Swati Dharale, Vishakha Patil, Prof. Alok Chauhan, "Implementation of Dynamic Bayseian Classifier for Cancer Prediction", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1833374

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