注意缺陷多动障碍相关数据

以“临床-行为-神经”多模态融合的结构/非结构数据为核心突破，该领域多模态数据在国内罕见。通过深度融合电子病历、真实世界药物副反应数据及高精度行为日志，构建国内首个整合临床诊断、神经信号、语义交互与行为特征的动态分析系统，直击传统诊疗依赖主观量表、数据孤岛严重的行业痛点。产品可开放不良反应预警系统，可精准识别如哌甲酯、托莫西汀等药物与睡眠障碍、胃肠道风险的强关联性，缩短临床周期，节省研发成本。

Taking structured and unstructured data for clinical-behavioral-neurological multi-modal fusion as the core breakthrough, such multi-modal datasets are rarely accessible in China. By deeply integrating electronic medical records (EMR), real-world adverse drug reaction data and high-precision behavioral logs, the first domestic dynamic analysis system integrating clinical diagnosis, neural signals, semantic interaction and behavioral characteristics has been developed, which directly addresses the industry pain points of traditional diagnosis relying on subjective rating scales and severe data silos. The product provides an open adverse reaction warning system that can accurately identify the strong correlations between drugs such as methylphenidate and atomoxetine and risks including sleep disorders and gastrointestinal adverse events, thereby shortening clinical cycles and reducing R&D costs.