Machine learning algorithms for smart and intelligent healthcare system in Society 5.0-Reference-Cited by-同舟云学术

Machine learning algorithms for smart and intelligent healthcare system in Society 5.0

Published:2022-10-17 Issue:12 Volume:37 Page:11742-11763
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Zamzami Ikhlas Fuad¹^ORCID,Pathoee Kuldeep²,Gupta Brij B.³⁴⁵⁶,Mishra Anupama⁷^ORCID,Rawat Deepesh⁸,Alhalabi Wadee⁶

Affiliation:

1. Department of Management Information System, Faculty of Business King Abdulaziz University Rabigh Saudi Arabia

2. Spanidea Systems India

3. Department of Computer Science and Information Engineering, International Center for AI and Cyber Security Research and Innovations Asia University Taichung Taiwan

4. Lebanese American University Beirut Lebanon

5. Center for Interdisciplinary Research University of Petroleum and Energy Studies (UPES) Dehradun Uttarakhand India

6. Department of Computer Science King Abdulaziz University Jeddah Saudi Arabia

7. Department of Computer Science and Engineering, Himalayan School of Science & Technology Swami Rama Himalayan University India

8. Department of Electronics and Communication Engineering, Himalayan School of Science & Technology Swami Rama Himalayan University India

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.23061

Reference47 articles.

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

2. MishraV SinghY Kumar RathS.Breast cancer detection from thermograms using feature extraction and machine learning techniques. Proceedings of the IEEE 5th International Conference for Convergence in Technology Bombay India;2019.

3. Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques

4. SmithJW EverhartJE DicksonWC KnowlerWC JohannesRS.Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. InProceedings of the Symposium on Computer Applications and Medical Care. IEEE Computer Society Press;1988:261‐265.

Cited by 11 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. Wearable Devices for Respiratory Monitoring;Advanced Functional Materials;2024-06-10

2. Systematic Review of Sleep Monitoring Systems for Babies: Research Issues, Current Status, and Future Challenges;Health & Social Care in the Community;2024-05-23

3. Integrating MLSecOps in the Biotechnology Industry 5.0;The Role of Cybersecurity in the Industry 5.0 Era [Working Title];2024-05-10

4. Sustainable and intelligent time-series models for epidemic disease forecasting and analysis;Sustainable Technology and Entrepreneurship;2024-05

5. The Recent Developments in Biomedical Research for Improving Healthcare;Advances in Healthcare Information Systems and Administration;2024-04-26