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PREDICTING DEPRESSION FROM NEUROELECTRIC DATA
专利权人:
X Development LLC
发明人:
Sarah Ann Laszlo,Georgios Evangelopoulos,Pramod Gupta
申请号:
US16284556
公开号:
US20200205711A1
申请日:
2019.02.25
申请国别(地区):
US
年份:
2020
代理人:
摘要:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for causing a stimulus presentation system to present first content to a patient. Obtaining, from a brainwave sensor, electroencephalography (EEG) signals of the patient while the first content is being presented to the patient. Identifying, from within the EEG signals of the patient, first brainwave signals associated with a first brain system of the patient, the first brainwave signals representing a response by the patient to the first content. Determining, based on providing the first brainwave signals as input features to a machine learning model, a likelihood that the patient will experience a type of depression within a period of time. Providing, for display on a user computing device, data indicating the likelihood that the patient will experience the type of depression within the period of time.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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