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Use of a Riemannian-geometry-based classifier significantly enhances the accuracy of machine-learning-based diagnosis of post-traumatic stress disorder with resting-state EEG data
- 제목
- Use of a Riemannian-geometry-based classifier significantly enhances the accuracy of machine-learning-based diagnosis of post-traumatic stress disorder with resting-state EEG data
- 저자
- 임창환
- 발행일
- 2018-11-02
- 학회명
- 2018년도 대한뇌기능매핑학회 추계학술대회
- 개최지
- 서울대 호암교수회관 삼성컨벤션센터 무궁화홀