Classification of schizophrenia using general linear model and support vector machine via fNIRS

Author:

Chen Lei,Li Qiang,Song HongORCID,Gao Ruiqi,Yang Jian,Dong Wentian,Dang Weimin

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Cited by 10 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. Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels;Communications in Computer and Information Science;2023-11-26

2. EEG based Detection of Schizophrenia using Machine Learning;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Analysis of schizophrenia using support vector machine classifier;Multimedia Tools and Applications;2023-03-21

4. Analysis of Public Big Data Management under Text Analysis;Mathematical Problems in Engineering;2022-07-30

5. Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms;Frontiers in Psychiatry;2022-07-18

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