Classification of Cardiotocography Data with WEKA

Bhatnagar, Divya and Maheshwari, Piyush Classification of Cardiotocography Data with WEKA. International Journal of Computer Science and Network - IJCSN, 2016, vol. 5, n. 2. [Journal article (Unpaginated)]

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English abstract

Cardiotocography (CTG) records fetal heart rate (FHR) and uterine contractions (UC) simultaneously. Cardiotocography trace patterns help doctors to understand the state of the fetus. Even after the introduction of cardiotocograph, the capacity to predict is still inaccurate. This paper evaluates some commonly used classification methods using WEKA. Precision,Recall, F-Measrue and ROC curve have been used as the metric to evaluate the performance of classifiers. As opposed to some of the earlier research works that were unable to identify Suspicious and Pathologic patterns, the results obtained from the study in this paper could precisely identify pathologic and Suspicious cases. Best results were obtained from J48, Random Forest and Classification via Regression.

Item type: Journal article (Unpaginated)
Keywords: Cardiotocography; CTG; Fetal Heart Rate; Uterine Contractions; Data Mining; Classification; Data Analysis
Subjects: L. Information technology and library technology
L. Information technology and library technology > LN. Data base management systems.
Depositing user: IJCSN Journal
Date deposited: 02 Sep 2016 07:33
Last modified: 02 Sep 2016 07:33
URI: http://hdl.handle.net/10760/29886

References

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