Prediction of Arrhythmia with Machine Learning Algorithms
| dc.authorid | Varol, Asaf/0000-0003-1606-4079 | en_US |
| dc.authorid | Gürsoy, GUNES/0000-0003-3716-0334 | en_US |
| dc.contributor.author | Gürsoy, Güneş | |
| dc.contributor.author | Varol, Asaf | |
| dc.date.accessioned | 2024-07-12T21:40:37Z | |
| dc.date.available | 2024-07-12T21:40:37Z | |
| dc.date.issued | 2021 | en_US |
| dc.department | [Belirlenecek] | en_US |
| dc.description | 9th International Symposium on Digital Forensics and Security (ISDFS) -- JUN 28-29, 2021 -- Fırat Univ, Elazig, TURKEY | en_US |
| dc.description.abstract | The present study uses the age, sex, diabetes mellitus, and arrhythmia data of patients from the datasets presented in an existing study to predict arrhythmia with machine learning algorithms, K-Nearest Neighbors (KNN), and Naive Bayes methods. The outputs are schematically presented, and the conclusions related to the Bayes theorem and KNN algorithms are compared. In the case of increasing the value of neighboring k in the KNN method, it is seen that the accuracy rate approaches the result obtained from the Naive Bayes method. | en_US |
| dc.description.sponsorship | IEEE Turkey Sect,Maltepe Univ,Sam Houston State Univ,Gazi Univ,San Diego State Univ,Arab Open Univ,Hacettepe Univ,Polytechnic Inst Cavado & Ave,Balikesir Univ,Ondokuz Mayis Univ,Assoc Software & Cyber Secur Turkey,Informat Assoc Turkey,Recep Tayyip Erdoğan Univ,Singidunum Univ,TELUQ Univ,Yıldız Teknik Univ | en_US |
| dc.identifier.doi | 10.1109/ISDFS52919.2021.9486383 | |
| dc.identifier.isbn | 978-1-6654-4481-1 | |
| dc.identifier.scopus | 2-s2.0-85114698521 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.uri | https://doi.org/10.1109/ISDFS52919.2021.9486383 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12415/7395 | |
| dc.identifier.wos | WOS:000844418700040 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 9th International Symposium on Digital Forensics And Security (Isdfs'21) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.snmz | KY08736 | |
| dc.subject | Arrhythmia | en_US |
| dc.subject | Diabetes Mellitus | en_US |
| dc.subject | Bayes Theorem | en_US |
| dc.subject | K-Nearest Neighbors | en_US |
| dc.title | Prediction of Arrhythmia with Machine Learning Algorithms | en_US |
| dc.type | Conference Object | |
| dspace.entity.type | Publication |
