Efficient Subject-Independent Detection of Anterior Cruciate Ligament Deficiency Based on Marine Predator Algorithm and Support Vector Machine-Reference-Cited by-同舟云学术

Efficient Subject-Independent Detection of Anterior Cruciate Ligament Deficiency Based on Marine Predator Algorithm and Support Vector Machine

Author:

Wang Gengyuan¹,Zeng Xiaolong¹,Lai Guanquan²,Zhong Guoqing³,Ma Ke⁴^ORCID,Zhang Yu³^ORCID

Affiliation:

1. School of Medicine, South China University of Technology, Guangzhou, China

2. Financial Technology Department, Guangzhou Rural Commercial Bank, Guangzhou, China

3. Department of Orthopaedics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

4. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference52 articles.

2. Improving RBF kernel function of support vector machine using particle swarm optimization;das;Int J Adv Comput Res,2012

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