Optimisation algorithm in health care: review on the State-of-the-Art models-Reference-Cited by-同舟云学术

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Optimisation algorithm in health care: review on the State-of-the-Art models

Published:2023-06-09 Issue: Volume: Page:1-24
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Shivaprasad More Priyanka¹,Saini Baljit Singh²,Sharma Rakesh Kumar³

Affiliation:

1. Research Scholar, School of Computer Science & Engineering, Lovely Professional University, Phagwara, India

2. School of Computer Science & Engineering, Lovely Professional University, Phagwara, India

3. Department of Obstetrics & Gynecology, D Y Patil Medical College, Kolhapur, India

Funder

No funders

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2023.2217813

Reference105 articles.

1. Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization

2. Healthcare scheduling in optimization context: a review

3. Aquila Optimizer: A novel meta-heuristic optimization algorithm

4. Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study

5. A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

Cited by 1 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. Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health;Journal of Computational Design and Engineering;2024-05-01

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