Asset Details

  • Description:
  • Overall architecture of proposed system
  • License:
  • Rights Managed
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © Springer Nature Switzerland AG 2020© Springer Nature Switzerland AG 2020
  • Asset Type:
  • Image
  • Asset Subtype:
  • Chart/Graph
  • Image Orientation:
  • Landscape
  • Image Dimensions:
  • 1210 x 753
  • Image File Size:
  • 86.2 KB
  • Creator:
  • George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain, Suresh Chandra Satapathy, K. Srujan Raju, K. Shyamala, D. Rama Krishna, Margarita N. Favorskaya, Hajera Subhani, Srinivasu Badugu
  • Credit:
  • Tsihrintzis, G. A., Virvou, M., Jain, L. C., Satapathy, S. C., Raju, K. S., Shyamala, K., Krishna, D. R., Favorskaya, M. N., Subhani, H., & Badugu, S. (2020). A Study of Liver Disease Classification Using Data Mining and Machine Learning Algorithms. Advances in Decision Sciences, Image Processing, Security and Computer Vision, 630-640. https://doi.org/10.1007/978-3-030-24318-0.
  • Collection:
  • Keywords:
  • SVM, Classification, Prediction, Liver
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain, Suresh Chandra Satapathy, K. Srujan Raju, K. Shyamala, D. Rama Krishna, Margarita N. Favorskaya, Hajera Subhani, Srinivasu Badugu
  • Article Copyright Year:
  • 2020
  • Publication Volume:
  • Publication Issue:
  • Publication Date:
  • 07/26/2019
  • DOI:
  • https://doi.org/10.1007/978-3-030-24318-0

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