A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning-Reference-Cited by-同舟云学术

A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning

Published:2023-08-09 Issue:21 Volume:53 Page:25562-25580
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Liu Yunqing,Liu Jinlei,Qin Chengjin,Jin Yanrui,Li Zhiyuan,Zhao Liqun,Liu Chengliang

Funder

Shanghai Municipal Science and Technology Major Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-04889-7.pdf

Reference35 articles.

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2. Rai HM, Chatterjee K (2022) Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data. Appl Intell 52:5366–5384. https://doi.org/10.1007/s10489-021-02696-6

3. Chaki J, Woźniak M (2023) Deep learning for neurodegenerative disorder (2016 to 2022): a systematic review. Biomed Signal Process Control 80:104223. https://doi.org/10.1016/j.bspc.2022.104223

4. Woźniak M, Wieczorek M, Siłka J (2023) BiLSTM deep neural network model for imbalanced medical data of IoT systems. Futur Gener Comput Syst 141:489–499. https://doi.org/10.1016/j.future.2022.12.004

5. Subramanyan L, Ganesan U (2022) A novel deep neural network for detection of Atrial Fibrillation using ECG signals. Knowl-Based Syst 258:109926. https://doi.org/10.1016/j.knosys.2022.109926

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