Application of Chicken Swarm Optimization in Detection of Cancer and Virtual Reality-Reference-Cited by-同舟云学术

Application of Chicken Swarm Optimization in Detection of Cancer and Virtual Reality

Published:2019-12-12 Issue: Volume: Page:165-192
ISSN:1860-949X
Container-title:Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare
language:
Short-container-title:

Author:

Tripathi Ayush Kumar,Garg Priyam,Tripathy Alok,Vats Navender,Gupta Deepak,Khanna Ashish

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-35252-3_9

Reference47 articles.

1. Hanahan, D., & Weinberg, R. A. (2011). Hallmarks of cancer: The next generation. Cell, 144, 646–674.

2. Ferlay, J., Soerjomataram, I., Ervik, M., Dikshit, R., Eser, S & Mathers, C. (2013) GLOBOCAN 2012 v1.0, cancer incidence and mortality worldwide International Agency for Research on Cancer. IARC CancerBase no 11. Lyon; France. Accessed January 1, 2016.

3. World Cancer Report. (2008). International agency for research on cancer. Retrieved February 26, 2011.

4. Polley, M. Y. C., Freidlin, B., Korn, E. L., Conley, B. A., Abrams, J. S., & McShane, L. M. (2013). Statistical and practical considerations for clinical evaluation of predictive biomarkers. Journal of the National Cancer Institute, 105, 1677–1683.

5. Cruz, J. A., & Wishart, D. S. (2006). Applications of machine learning in cancer prediction and prognosis. Cancer Informatics, 2, 59.

Cited by 5 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. Identification and diagnosis of cervical cancer using a hybrid feature selection approach with the bayesian optimization-based optimized catboost classification algorithm;Journal of Ambient Intelligence and Humanized Computing;2024-06-21

2. A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges;Artificial Intelligence Review;2024-06-11

3. Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting;Computational Economics;2023-05-30

4. An Experimental Study of Diversity of Diabetes Disease Features by Bagging and Boosting Ensemble Method with Rule Based Machine Learning Classifier Algorithms;SN Computer Science;2021-01-20

5. Optimal Design of Fuzzy Logic Systems Through a Chicken Search Optimization Algorithm Applied to a Benchmark Problem;Recent Advances of Hybrid Intelligent Systems Based on Soft Computing;2020-11-07