机译:功能性脑网络和神经肿瘤内抑制恶心的严重程度可以预测使用机器学习的恶心易感性
Centre for Neuroscience and TraumaQueen Mary University of London26 Ashfield Street London E1 2AJ UK;
Centre for Neuroscience and TraumaQueen Mary University of London26 Ashfield Street London E1 2AJ UK;
Department of NeuroimagingInstitute of PsychiatryPsychology &
Neuroscience London SE5 8AF UK;
Department of NeuroimagingInstitute of PsychiatryPsychology &
Neuroscience London SE5 8AF UK;
Centre for Neuroscience and TraumaQueen Mary University of London26 Ashfield Street London E1 2AJ UK;
Division of Biomedical SciencesSt George's University of LondonLondon SW17 0RE UK;
Department of NeuroimagingInstitute of PsychiatryPsychology &
Neuroscience London SE5 8AF UK;
Centre for Neuroscience and TraumaQueen Mary University of London26 Ashfield Street London E1 2AJ UK;
Centre for Neuroscience and TraumaQueen Mary University of London26 Ashfield Street London E1 2AJ UK;
neuroimaging; Autonomic Nervous system; Gastrointestinal tract; Human physiology; nausea; machine learning; motion sickness; functional magnetic resonance imaging;
机译:功能性脑网络和神经肿瘤内抑制恶心的严重程度可以预测使用机器学习的恶心易感性
机译:腹部疼痛相关功能性胃肠道疾病患儿的恶心程度量表的开发和验证
机译:症状严重程度预测难治性恶心和呕吐的儿童胃电刺激的短期反应
机译:人工神经网络预测术后恶心和呕吐
机译:成瘾是一种脑疾病:使用高级MRI和神经刺激诱发的脑部病变的物质使用障碍的计算和功能神经解剖学
机译:恶心严重程度的功能性大脑网络和神经解剖学可以使用机器学习预测恶心易感性
机译:肠道催眠与具有功能性恶心或功能性脱节的儿童的恶心的标准治疗:多期式随机试验的协议