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Fuzzy Kernel-Based Clustering and Support Vector Machine Algorithm in Analyzing Cerebral Infarction Dataset

  • Zuherman Rustam
  • Dea Aulia UtamiEmail author
  • Jacub Pandelaki
  • Nadisa Karina Putri
  • Sri Hartini
Conference paper
  • 29 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 123)

Abstract

Ischemic stroke is a disease that occurs due to disruption of blood circulation to the brain due to blood clots in the brain. The blockage is called cerebral infarction. In diagnosing the presence of cerebral infarction in the brain, machine learning is used because it is not enough just to use a CT scan to diagnose. To deal with the problem of classification of cerebral infarction data obtained from Dr. Cipto Mangunkusumo’s Hospital in Jakarta, this study proposes the use of Fuzzy C-Means Clustering (FCM), Fuzzy Possibilistic C-Means (FPCM), and Radial Base Function Fuzzy Possibilistic C-Means (RBFFPCM) method as a clustering method and a Support Vector Machine (SVM) method as a classification method. This method will be compared to the level of accuracy. The greatest level of accuracy is generated from the Radial Base Function Fuzzy Possibilistic C-Means (RBFFPCM) method with an accuracy value of 91%.

Keywords

Fuzzy C-Means Clustering (FCM) Fuzzy Possibilistic C-Means (FPCM) Radial Base Function Fuzzy Possibilistic C-Means (RBFFPCM) Support Vector Machine (SVM) Cerebral infarction Ischemic stroke 

Notes

Acknowledgments

This work was financially supported by The Indonesian Ministry of Research and Higher Education, under Grant PDUPT 2019 (ID number NKB-1621/UN2.R3.1/HKP05.00/2019). This work supported by Department Radiology of Dr. Cipto Mangunkusumo’s Hospital. We thank to all reviewers for the improvement of this article.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Zuherman Rustam
    • 1
  • Dea Aulia Utami
    • 1
    Email author
  • Jacub Pandelaki
    • 2
  • Nadisa Karina Putri
    • 1
  • Sri Hartini
    • 1
  1. 1.Department of MathematicsFMIPA Universitas IndonesiaDepokIndonesia
  2. 2.Medical Department of RadiologyRSUPN Dr. Cipto MangunkusumoKota Jakarta Pusat, DKI, JakartaIndonesia

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