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Application of Artificial Intelligence Techniques for Automated Detection of Myocardial Infarction: a ReviewEasyChair Preprint no. 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, Edris Hassannataj Joloudari, 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, deep learning, diagnosis, Electrocardiogram, machine learning, Myocardial Infarction Disease |
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