神经语义交互动态数据

本产品收录了上万例真实医患交互数据，通过医疗级NLP与多模态融合技术，构建精神心理领域语料特征数据库。深度解析ADHD、焦虑抑郁等心理障碍患者随时间演变的不同情境下的交互反应模式。系统破解药物真实世界证据（RWE）获取难题，构建近千种口语化语料库（如“什么事情都不想干”对应兴趣下降发生概率）。本产品还提供日均上百次语义特征调用服务，重新定义精神心理领域数据的资产化路径。适用于训练垂类模型。

This product collects over 10,000 real doctor-patient interaction datasets. By utilizing medical-grade natural language processing (NLP) and multimodal fusion technologies, it establishes a corpus feature database for the psychiatric and psychological domain. It performs in-depth analyses of the interaction response patterns of patients with mental disorders including ADHD, anxiety and depression across various scenarios over time. It systematically addresses the challenges associated with acquiring real-world evidence (RWE) for pharmaceuticals, and constructs nearly 1,000 colloquial corpora; for example, "having no desire to do anything" corresponds to the probability of diminished interest. Furthermore, this product provides semantic feature invocation services with an average of hundreds of calls per day, redefining the data assetization pathway in the psychiatric and psychological field. It is applicable for fine-tuning domain-specific models.