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Application of Artificial Intelligence Techniques for Automated Detection of Myocardial Infarction: a ReviewEasyChair Preprint 6048, version historyJavad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari Kohnehshari, Edris Hassannatajjeloudari, Danial Sharifrazi, Amir Mosavi, Hui Wen Loh, Ru-San Tan and U Rajendra Acharya Version | Date | Pages | Version notes |
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1 | July 11, 2021 | 18 | | 2 | February 21, 2022 | 16 | The new version is edited in terms of context, Figures, and Tables. | 3 | March 10, 2022 | 16 | We add the new authors to our paper. |
Keyphrases: Deep Convolutional Neural Network, Electrocardiogram, Myocardial Infarction Disease, deep learning, diagnosis, machine learning |
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