Zwirnmann, Henning

[["dc.bibliographiccitation.firstpage","157"],["dc.bibliographiccitation.lastpage","158"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Zwirnmann, Henning"],["dc.contributor.author","Zabel, Markus"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, Stefan"],["dc.date.accessioned","2019-02-26T15:08:20Z"],["dc.date.available","2019-02-26T15:08:20Z"],["dc.date.issued","2014"],["dc.description.abstract","We evaluate several machine learning algorithms in the context of long-term prediction of cardiac diseases. Results from applying K Nearest Neighbors Classifiers (KNN), Support Vector Machines (SVM) and Random Forests (RF) to data from a cardiological long-term study suggests that multivariate methods can significantly improve classification results. SVMs were found to yield the best results in Matthews Correlation Coefficient and are most stable with respect to a varying number of features."],["dc.identifier.doi","10.1109/ESGCO.2014.6847567"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57623"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/53"],["dc.language.iso","en"],["dc.notes.status","fcwi"],["dc.publisher","IEEE"],["dc.publisher.place","Piscataway, NJ"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.conference","8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)"],["dc.relation.eventend","2014-05-28"],["dc.relation.eventlocation","Trento, Italy"],["dc.relation.eventstart","2014-05-25"],["dc.relation.isbn","978-1-4799-3969-5"],["dc.relation.isbn","978-1-4799-3968-8"],["dc.relation.isbn","978-1-4799-3970-1"],["dc.relation.ispartof","2014 8th Conference of the European Study Group on Cardiovascoular Oscillations (ESGCO 2014)"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","Evaluation of Machine Learning Methods for the Long-Term Prediction of Cardiac Diseases"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]