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Applied Artificial Intelligence
An International Journal
Volume 30, 2016 - Issue 6: Intelligent Methods Applied to Healthcare Information Systems
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Articles

Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment

Robert CzabanskiInstitute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandCorrespondence[email protected]
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,
Michal JezewskiInstitute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandView further author information
,
Krzysztof HorobaDepartment of Biomedical Signal Processing, Institute of Medical Technology and Equipment ITAM, Zabrze, PolandView further author information
,
Janusz JezewskiDepartment of Biomedical Signal Processing, Institute of Medical Technology and Equipment ITAM, Zabrze, PolandView further author information
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Jacek LeskiInstitute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandView further author information
Pages 556-571 | Published online: 21 Jul 2016

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M. Manikandan & P. Vijayakumar. (2023) Improving the Performance of Classifiers by Ensemble Techniques for the Premature Finding of Unusual Birth Outcomes from Cardiotocography. IETE Journal of Research 69:4, pages 1734-1744.
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Articles from other publishers (12)

Robert Czabanski, Michal Jezewski, Jacek Leski, Krzysztof Horoba, Janusz Wrobel, Radek Martinek & Katerina Barnova. (2023) Refining the rule base of fuzzy classifier to support the evaluation of fetal condition. Applied Soft Computing 147, pages 110790.
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O. Graupner & C. Enzensberger. (2022) Vorteile der KI-gestützten geburtshilflichen ÜberwachungBenefits of AI-assisted obstetric surveillance. Die Gynäkologie 55:10, pages 740-745.
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Manuel Gonçalves da Silva Neto, João Paulo do Vale Madeiro & Danielo G. Gomes. (2022) On designing a biosignal-based fetal state assessment system: A systematic mapping study. Computer Methods and Programs in Biomedicine 216, pages 106671.
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Manuel Gonçalves da Silva Neto, João Paulo do Vale Madeiro, João Alexandre Lobo Marques & Danielo G. Gomes. (2021) Towards an efficient prognostic model for fetal state assessment. Measurement 185, pages 110034.
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Michal Jezewski, Robert Czabanski, Jacek M. Leski, Adam Matonia & Radana Kahankova. (2021) On -insensitive simplification of fuzzy rules for fetal distress assessment . Expert Systems with Applications 179, pages 115052.
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Lena Davidson & Mary Regina Boland. (2021) Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes. Briefings in Bioinformatics 22:5.
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Robert Czabanski, Michal Jezewski, Jacek M. Leski, Tomasz Kupka & Radek Martinek. (2020) Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State. Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State.
Robert Czabanski, Krzysztof Horoba, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Michal Jezewski, Radana Kahankova, Janusz Jezewski & Jacek Leski. (2020) Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine. Sensors 20:3, pages 765.
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Krzysztof Horoba, Robert Czabanski, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Radana Kahankova, Jacek M. Leski & Slawomir Graczyk. (2019) Recognition of Atrial Fibrilation Episodes in Heart Rate Variability Signals Using a Machine Learning Approach. Recognition of Atrial Fibrilation Episodes in Heart Rate Variability Signals Using a Machine Learning Approach.
Łukasz Apiecionek. 2017. Theory and Applications of Ordered Fuzzy Numbers. Theory and Applications of Ordered Fuzzy Numbers 253 268 .
Jacek M. Czerniak. 2017. Theory and Applications of Ordered Fuzzy Numbers. Theory and Applications of Ordered Fuzzy Numbers 207 222 .
Hubert Zarzycki, Jacek M. Czerniak & Wojciech T. Dobrosielski. 2017. Theory and Applications of Ordered Fuzzy Numbers. Theory and Applications of Ordered Fuzzy Numbers 195 205 .

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