A Survey of Data Mining Methods for Automated Diagnosis of Cardiac Autonomic Neuropathy Progression

Author:

F. Jelinek Herbert, ,V. Kelarev Andrei

Publisher

American Institute of Mathematical Sciences (AIMS)

Cited by 4 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 state-of-the-art review on computational methods for predicting the occurrence of cardiac autonomic neuropathy;Internet of Things and Machine Learning for Type I and Type II Diabetes;2024

2. State-of-the-art in exploring Integration of Machine Learning and Deep Learning Techniques with Medical Parameters for Diabetic Clinical Decision Support;2023 6th International Conference on Advances in Science and Technology (ICAST);2023-12-08

3. A Systematic Literature Review: Role of AI Algorithms for Automated Diagnosis of Diabetic Cardiac Autonomic Neuropathy [DCAN];2022 9th International Conference on Computing for Sustainable Global Development (INDIACom);2022-03-23

4. A survey of state-of-the-art methods for securing medical databases;AIMS Medical Science;2018

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