دورية أكاديمية

Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization

التفاصيل البيبلوغرافية
العنوان: Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization
المؤلفون: Dias, Felipe Meneguitti, Ribeiro, Estela, Moreno, Ramon Alfredo, Ribeiro, Adèle Helena, Samesima, Nelson, Pastore, Carlos Alberto, Krieger, Jose Eduardo, Gutierrez, Marco Antonio
المساهمون: São Paulo Research Foundation, Foxconn Brazil, Zerbini Foundation as part of the Research Initiative titled “Machine Learning in Cardiovascular Medicine.”
المصدر: IEEE Access ; volume 11, page 121739-121752 ; ISSN 2169-3536
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE)
سنة النشر: 2023
مصطلحات موضوعية: General Engineering, General Materials Science, General Computer Science, Electrical and Electronic Engineering
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1109/access.2023.3328538
الإتاحة: https://doi.org/10.1109/access.2023.3328538Test
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10299626.pdf?arnumber=10299626Test
حقوق: https://creativecommons.org/licenses/by-nc-nd/4.0Test/
رقم الانضمام: edsbas.3BB89E57
قاعدة البيانات: BASE