Automatic identification of Chronic Obstructive Pulmonary Disease Based on forced oscillation measurements and artificial neural networks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5608545/5625939/05626727.pdf?arnumber=5626727
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases;IEEE Transactions on Instrumentation and Measurement;2023
2. Analyzing the use of artificial intelligence for the management of chronic obstructive pulmonary disease (COPD);International Journal of Medical Informatics;2022-02
3. Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques;Diagnostics;2021-05-04
4. Artificial neural networks as clinical decision support systems;Concurrency and Computation: Practice and Experience;2021-05-04
5. Computer-Aided Diagnosis System for Chronic Obstructive Pulmonary Disease Using Empirical Wavelet Transform on Auscultation Sounds;The Computer Journal;2021-02-10
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