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Fetal state Classification From Caediotocography Based on feature Extraction Using Hybrid K-Means and Support Vector Machine



  ID Publisher : 0000018961
  Nama Jurnal : ICACSIS 2015 : Proceedings International Conference on Advanced Computer Science and Information System, October 10th and 11th 2015, Depok, Indonesia
  Pengarang : Nurul Chamidah, Ito Wasito
  Subjek : Cardiotocography (CTG), fetal state, featurea extraction, clasification, SVM, K-Means
  Edisi : 0 / 0 / 2015





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