首页|University of North Dakota Researcher Targets Machine Learning (Impact of Featur e Selection Techniques on the Performance of Machine Learning Models for Depress ion Detection Using EEG Data)
University of North Dakota Researcher Targets Machine Learning (Impact of Featur e Selection Techniques on the Performance of Machine Learning Models for Depress ion Detection Using EEG Data)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Grand Forks, North Dakot a, by NewsRx journalists, research stated, “Major depressive disorder(MDD) pose s a significant challenge in mental healthcare due to difficulties in accurate d iagnosis andtimely identification.”
University of North DakotaGrand ForksNorth DakotaUnited StatesNorth and Central AmericaCyborgsEmerging Techn ologiesMachine LearningSupport Vector MachinesVector Machines
NETL
NSTL
