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Proceedings of International Conference on Advanced Computing Applications pp 403–413Cite as

A Novel Medical Prognosis System for Breast Cancer

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1406)

Abstract

The availability of huge variety of medical dataset coming from different sources is boon for automatic medical prognosis system. Breast cancer or breast carcinoma is one of the deadly diseases of modern times. Here in this paper, we emphasize on exploring unsupervised learning techniques. The objectives of this paper are to analyze the breast cancer dataset using different clustering methods to understand the correlations of the attributes present in the dataset and then investigate with different algorithm like random forest (RF), support vector machine (SVM), multilayer perceptron (MLP) and J48 to get the best model for our prediction and classification. So, we proposed a novel medical prognosis system (NMPS) which is an ensemble learning model combines all these algorithms and gives all possible results stated above in the purview of unsupervised learning classification with different clustering techniques.

Keywords

  • Random forest (RF)
  • Support vector machine (SVM)
  • Multilayer perceptron (MLP)
  • J48
  • Novel medical prognosis system (NMPS)

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Author information

Authors and Affiliations

  1. The University of Southern Mississippi, Hattiesburg, MS, 39406, USA

    Somenath Chakraborty & Beddhu Murali

Authors
  1. Somenath Chakraborty
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  2. Beddhu Murali
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Corresponding author

Correspondence to Somenath Chakraborty .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Prof. Jyotsna Kumar Mandal

  2. School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Dr. Rajkumar Buyya

  3. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata, West Bengal, India

    Prof. Dr. Debashis De

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Chakraborty, S., Murali, B. (2022). A Novel Medical Prognosis System for Breast Cancer. In: Mandal, J.K., Buyya, R., De, D. (eds) Proceedings of International Conference on Advanced Computing Applications. Advances in Intelligent Systems and Computing, vol 1406. Springer, Singapore. https://doi.org/10.1007/978-981-16-5207-3_34

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