{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T19:28:52Z","timestamp":1773257332741,"version":"3.50.1"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/meco49872.2020.9134333","type":"proceedings-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T20:30:08Z","timestamp":1594153808000},"page":"1-5","source":"Crossref","is-referenced-by-count":35,"title":["Review of Artificial Intelligence Application in Cardiology"],"prefix":"10.1109","author":[{"given":"Almina","family":"Seckanovic","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marijana","family":"Sehovac","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lemana","family":"Spahic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irma","family":"Ramic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nuraiym","family":"Mamatnazarova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lejla Gurbeta","family":"Pokvic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Almir","family":"Badnjevic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirsad","family":"Kacila","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0240-2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0268-3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.01.013"},{"key":"ref32","article-title":"Assessment of ventricular tachyarrhythmia in patients with hypertrophic cardiomyopathy with machine learning-based texture analysis of late gadolinium enhancement cardiac MRI","author":"alis","year":"2019","journal-title":"Diagn Interv Imaging"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00246-018-2036-z"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2019.11.016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.118.009959"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17971-7_23"},{"key":"ref35","first-page":"728","volume":"36","author":"tan","year":"2019","journal-title":"Classification of heart sound signals in congenital heart disease based on convolutional neural network"},{"key":"ref34","first-page":"1272","volume":"31","author":"tabassian","year":"2018","journal-title":"Jan D'hooge Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2017.01.011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101629"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.05.004"},{"key":"ref12","author":"kova?evi?","year":"0","journal-title":"PREDICTION OF MEDICAL DEVICE PERFORMANCE USING MACHINE LEARNING TECHNIQUES Infant incubator case study Health and Technology"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17971-7_72"},{"key":"ref14","first-page":"671","article-title":"Expert System for Performance Prediction of Anesthesia Machines","author":"had\u017ei?","year":"2019","journal-title":"Int Conf Engineering in Medicine and Biology"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2006.01.005"},{"key":"ref16","first-page":"649","article-title":"Prostate Tissue Classification Based on Prostate-Specific Antigen Levels and Mitochondrial DNA Copy Number Using Artificial Neural Network","author":"spahi?","year":"2019","journal-title":"Int Conf Engineering in Medicine and Biology"},{"key":"ref17","article-title":"Classification of Chronic Obstructive Pulmonary Diseases Based on Neuro-Fuzzy Software","author":"badnjevic","year":"2016","journal-title":"the Book “Chronic Obstructive Pulmonary Disease (COPD) Clinical Symptoms Emerging Treatment Strategies and Impact on Quality of Life”"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-30116-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-51234-1_18"},{"key":"ref4","year":"0","journal-title":"2019 ACC\/AHA Guidelines"},{"key":"ref28","year":"0","journal-title":"MedTech Europe"},{"key":"ref3","year":"0","journal-title":"ESC guidelines 2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.1883"},{"key":"ref6","author":"wilkins","year":"2017","journal-title":"Europeancardiovascular disease statistics 2017"},{"key":"ref5","author":"mann","year":"2015","journal-title":"Braunwald's Heart Disease A Textbook of Cardiovascular Medicine"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(19)31721-0"},{"key":"ref8","first-page":"115","article-title":"Supervised learning approach for breast cancer classification","volume":"1","author":"sivagami","year":"2012","journal-title":"Int J Emerg Trends Sci Technol"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-018-0305-z"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1161\/CIR.0000000000000485","article-title":"Heart disease and stroke statistics-2017 update: a report from theamerican heart association","volume":"135","author":"benjamin","year":"2017","journal-title":"Circulation"},{"key":"ref9","first-page":"505","article-title":"Lactose Intolerance Prediction Using Artificial Neural Networks","author":"spahi?","year":"2019","journal-title":"Int Conf Engineering in Medicine and Biology"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-813467-2.00074-2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MECO.2017.7977152"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0224582"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0219302"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0213653"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.pec.2013.05.002"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2019.19396"},{"key":"ref21","year":"2020"},{"key":"ref24","first-page":"18","article-title":"Classification and regression by randomForest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref42","first-page":"18","author":"golas","year":"2018","journal-title":"A machine learning model to predict the risk of 30-day readmissions in patients with heart failure a retrospective analysis of electronic medical records data"},{"key":"ref23","year":"0"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0224502"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002693"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/b95439"},{"key":"ref25","first-page":"41","article-title":"An empirical study of the naive Bayes classifier","volume":"3","author":"rish","year":"0","journal-title":"IJCAI 2001 Workshop on Empirical Methods in Artificial Intelligence"},{"key":"ref43","first-page":"179","volume":"18","author":"dimopoulos","year":"2018","journal-title":"Machine learning methodologies versus cardiovascular risk scores in predicting disease risk"}],"event":{"name":"2020 9th Mediterranean Conference on Embedded Computing (MECO)","location":"Budva, Montenegro","start":{"date-parts":[[2020,6,8]]},"end":{"date-parts":[[2020,6,11]]}},"container-title":["2020 9th Mediterranean Conference on Embedded Computing (MECO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9125448\/9134063\/09134333.pdf?arnumber=9134333","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:50:36Z","timestamp":1656453036000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9134333\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/meco49872.2020.9134333","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}