2022-06-212022-06-212013Yilmaz, E. ve Kılıkçıer, Ç. (2013). "Determination of fetal state from cardiotocogram using LS-SVM with particle swarm optimization and binary decision tree". Computational and Mathematical Methods in Medicine, 2013.1748-670X1748-6718https://doi.org/10.1155/2013/487179https://www.hindawi.com/journals/cmmm/2013/487179/http://hdl.handle.net/11452/27335We use least squares support vector machine (LS-SVM) utilizing a binary decision tree for classification of cardiotocogram to determine the fetal state. The parameters of LS-SVM are optimized by particle swarm optimization. The robustness of the method is examined by running 10-fold cross-validation. The performance of the method is evaluated in terms of overall classification accuracy. Additionally, receiver operation characteristic analysis and cobweb representation are presented in order to analyze and visualize the performance of the method. Experimental results demonstrate that the proposed method achieves a remarkable classification accuracy rate of 91.62%.eninfo:eu-repo/semantics/openAccessMathematical & computational biologyHeart-rateClassificationPerformanceSystemRiskBinary treesDecision treesParticle swarm optimization (PSO)10-fold cross-validationBinary decision treesCardiotocogramClassification accuracyLeast squares support vector machinesOperation characteristicSupport vector machinesArtificial intelligenceCardiotocographyDecision support systems, clinicalDecision treesFemaleHumansLeast-squares analysisPregnancyROC curveSupport vector machinesArticle0003267511000012-s2.0-84888869975201324288574Mathematical & Computational BiologyCardiotocography; Fetal Heart Rate; PregnancyArticleCardiotocographCardiotocographyClassification algorithmClinical evaluationDecision treeDiagnostic accuracyFetusFetus developmentHumanImage analysisIntelligenceLearning algorithmLeast square support vector machineMachine learningNonhumanParametersParticle swarm optimizationProcess optimizationReceiver operating characteristicSupport vector machineArtificial intelligenceCardiotocographyDecision support systemDecision treeEvaluation studyFemalePregnancyRegression analysisStatistics and numerical dataSupport vector machineValidation studyStatistics