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A Novel Internet of Things Framework Integrated with Real Time Monitoring for Intelligent Healthcare Environment

  • A. SureshEmail author
  • R. Udendhran
  • M. Balamurgan
  • R. Varatharajan
Systems-Level Quality Improvement
  • 59 Downloads
Part of the following topical collections:
  1. Wearable Computing Techniques for Smart Health

Abstract

During mammogram screening, there is a higher probability that detection of cancers is missed, and more than 16 percentage of breast cancer is not detected by radiologists. This problem can be solved by employing image processing algorithms which enhances the accuracy of the diagnostic through image segmentation which reduces the misclassified malignant cancers. By employing segmentation, the unnecessary regions in the breast close to the boundary between the breast tissue and segmented pectoral muscle can be removed, therefore enhancing the accuracy the calculation as well as feature estimation. In-order to enhance the accuracy of classification, the proposed classifier integrates the decision trees and neural network into a system to report the progress of the breast cancer patients in an appropriate manner with the help of technology used in healthcare system. The proposed classifier successfully demonstrated that it achieved more accurate prediction when compared with other widely used algorithms, namely, K-Nearest Neighbors, Support Vector Machine and Naive Bayes algorithm.

Keywords

Internet of things Body sensor network Neural network Decision trees Breast cancer Healthcare 

Notes

Compliance with ethical standards

Ethical responsibilities of authors

The authors follow the ethical information provided in the journal and hereby abide the same with the journal.

Conflict of interest

In accordance with all authors, we are reporting that there is no conflict of interest in the research paper.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNehru Institute of Engineering and TechnologyCoimbatoreIndia
  2. 2.Department of Computer Science and EngineeringBharathidasan University, TrichyTiruchirappalliIndia
  3. 3.Department of Electronics and Communication EngineeringSri Ramanujar Engineering CollegeChennaiIndia

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