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Иш: Machine learning methods as a tool for diagnostic and prognostic research in cardiovascular disease

  1. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes

    Juhani Knuuti, William Wijns, Antti Saraste +83

    Мақола201913 иқтибос
    ABI

  2. Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

    Serkan Kıranyaz, Türker İnce, Moncef Gabbouj

    Мақола20159 иқтибос
    ABI

  3. Multiclass classification of myocardial infarction with convolutional and recurrent neural networks for portable ECG devices

    Hin Wai Lui, King Lau Chow

    Мақола20184 иқтибос
    ABI

  4. PhysioBank, PhysioToolkit, and PhysioNet

    Ary L. Goldberger, Luı́s A. Nunes Amaral, Leon Glass +7

    Мақола20004 иқтибос
    ABI

  5. Artificial Intelligence in Cardiology

    Kipp W. Johnson, Jessica Torres Soto, Benjamin S. Glicksberg +5

    Шарҳ мақола20183 иқтибос
    ABI

  6. Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

    Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir +2

    Мақола20172 иқтибос
    ABI

  7. Machine learning-based coronary artery disease diagnosis: A comprehensive review

    Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir +6

    Шарҳ мақола20192 иқтибос
    ABI

  8. Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

    Davide Chicco, Giuseppe Jurman

    Мақола20202 иқтибос
    ABI

  9. MIMIC-III, a freely accessible critical care database

    Alistair E. W. Johnson, Tom Pollard, Lu Shen +7

    Мақола20162 иқтибос
    ABI

  10. Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography

    Sukrit Narula, Khader Shameer, Alaa Mabrouk Salem Omar +2

    Мақола20162 иқтибос
    ABI

  11. Cardiovascular Event Prediction by Machine Learning

    Bharath Ambale‐Venkatesh, Xiaoying Yang, Colin O. Wu +9

    Мақола20172 иқтибос
    ABI

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