Analysis of Cardiotocogram Data for Fetal Distress Determination by Decision Tree Based Adaptive Boosting Approach
نویسندگان
چکیده
Cardiotocography is one of the most widely used technique for recording changes in fetal heart rate (FHR) and uterine contractions. Assessing cardiotocography is crucial in that it leads to identifying fetuses which suffer from lack of oxygen, i.e. hypoxia. This situation is defined as fetal distress and requires fetal intervention in order to prevent fetus death or other neurological disease caused by hypoxia. In this study a computer-based approach for analyzing cardiotocogram including diagnostic features for discriminating a pathologic fetus. In order to achieve this aim adaptive boosting ensemble of decision trees and various other machine learning algorithms are employed.
منابع مشابه
Determination of Fetal State from Cardiotocogram Using LS-SVM with Particle Swarm Optimization and Binary Decision Tree
We 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. Additio...
متن کاملPlymouth randomized control trial of cardiotocogram only versus ST waveform plus cardiotocogram for intrapartum monitoring in 2400 cases.
OBJECTIVE The physiology of changes in the ST waveform of the fetal electrocardiogram has been elucidated in extensive animal and human observational studies. A combination of heart rate and ST waveform analysis might improve the predictive value of intrapartum monitoring. Our purpose was to compare operative intervention and neonatal outcome in labors monitored by the conventional cardiotocogr...
متن کاملModelling Customer Attraction Prediction in Customer Relation Management using Decision Tree: A Data Mining Approach
In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...
متن کاملMultiple Boosting in the Ant Colony Decision Forest meta-classifier
The idea of ensemble methodology is to combine multiple predictive models in order to achieve a better prediction performance. In this task we analyze the self-adaptive methods for improving the performance of Ant Colony Decision Tree and Forest algorithms. Our goal is to present and compare new metaensemble approaches based on Ant Colony Optimization. The proposed meta-classifiers (consisting ...
متن کاملA New Approach Based on Erythrocyte Indices to Exclude Normal Populations from Chromatography Based Thalassemia Screening Programs with Very High Fidelity
Background: Screening and counselling is the most effective way to prevent the birth of children with thalassemia major. An accurate and relatively less time-consuming protocol is necessary to screen large populations. Separating iron deficiency anaemia from thalassemia trait based on blood cell parameters has been used by hematologists for many years. We aimed to design a new approach to scree...
متن کامل