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Classification of the cardiotocogram data for anticipation of fetal risks using machine learning techniques

  • Published:2015-08 Issue: Volume:33 Page:231-238
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Sahin Hakan,Subasi Abdulhamit

Publisher

Elsevier BV

Subject

Software

Reference53 articles.

1. Comparison of short term variability indexes in cardiotocographic fetal monitoring;Cesarelli;Comput. Biol. Med.,2009

2. Antenatal cardiotocography for fetal assessment;Grivell;Cochrane Database Syst. Rev.,2010

3. Critical evaluation of fetal assessment methods;Gribbin;High-Risk Pregnancy Manag. Options,2006

4. Prediction of neonatal state by computer analysis of fetal heart rate tracings: the antepartum arm of the SisPorto® multicentre validation study;Ayres-de-Campos;Eur. J. Obstet. Gynecol. Reprod. Biol.,2005

5. Analysis of heart rate and beat-to-beat variability: Interval difference index;van Geijn;Am. J. Obstet. Gynecol.,1980

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