Classifying the type of delivery from cardiotocographic signals: A machine learning approach

Author:

Ricciardi C.,Improta G.,Amato F.,Cesarelli G.ORCID,Romano M.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference59 articles.

1. Software for computerised analysis of cardiotocographic traces;Romano;Comput. Methods Progr. Biomed.,2016

2. SisPorto 2.0: a program for automated analysis of cardiotocograms;Ayres-de-Campos;J. Matern. Fetal Neonatal Med.,2000

3. Cardiotocography trace pattern evaluation using MATLAB Program;Al-Yousif,2011

4. Comparison of 5 experts and computer analysis in rule-based fetal heart rate interpretation;Parer;Am. J. Obstet. Gynecol.,2010

5. Integrated approach for classification of cardiotocograms based on independent component analysis and neural networks;Georgoulas,2003

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