Current Advancements in Cardiovascular Disease Management using Artificial Intelligence and Machine Learning Models: Current Scenario and Challenges-Reference-Cited by-同舟云学术

Current Advancements in Cardiovascular Disease Management using Artificial Intelligence and Machine Learning Models: Current Scenario and Challenges

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)
language:
Short-container-title:

Author:

Bhadri Karan¹,Karnik Niharika¹,Dhatrak Pankaj²

Affiliation:

1. School of Mechanical Engineering, Dr. Vishwanath Karad MIT-World Peace University,Pune,India

2. Dr. Vishwanath Karad MIT-World Peace University,Faculty at School of Mechanical Engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9791456/9791491/09791776.pdf?arnumber=9791776

Reference60 articles.

1. Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist

2. DENS-ECG: A deep learning approach for ECG signal delineation

3. Artificial Intelligence in Cardiovascular Medicine

4. Challenging the supremacy of evidence-based medicine through artificial intelligence: The time has come for a change of paradigms;burlacu;Nephrology Dialysis Transplantation,2020

5. Predicting Survival From Large Echocardiography and Electronic Health Record Datasets

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. Enhancing ECG signal classification through pre-trained stacked-CNN embeddings: a transfer learning approach;Biomedical Physics & Engineering Express;2024-05-09

2. A collaborative empirical analysis on machine learning based disease prediction in health care system;International Journal of Information Technology;2023-10-14

3. Identification of Coronary Artery Diseases Using Photoplethysmography Signals and Practical Feature Selection Process;Bioengineering;2023-02-13

4. Computational Intelligence Approaches for Enhancing Biomedical Image Processing Applications Based on Breast Cancer;Biomedical Engineering;2022-12-12