Kayıkçı, Şafak2021-06-232021-06-2320199781728137896https://doi.org/10.1109/ISMSIT.2019.8932952https://hdl.handle.net/20.500.12491/37853rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 -- 11 October 2019 through 13 October 2019 -- -- 156063Health services are spreading more and more into the electronic world and the prediction of diseases is increasingly becoming real than science fiction. The classification of recorded patient heartbeats as murmur, normal or artifact also illustrates the use of these technologies. This paper examines how it can be classified by convolutional neural networks. © 2019 IEEE.eninfo:eu-repo/semantics/closedAccessCassificationConfusion MatrixConvolutional Neural NetworkHeartbeatConference Object10.1109/ISMSIT.2019.89329522-s2.0-85078029750N/A