语势科技-叙事数据

金融叙事数据致力于捕获、量化和深度分析那些能够直接或间接影响资金流向、资产定价、投资者风险偏好的“市场故事”。其核心价值在于捕捉传统金融数据难以量化的“认知动能” ，提前捕捉未来价值迁移信号。

The data product listed this time is a disease-specific data model targeting the population of patients with Type 2 Diabetes Mellitus (T2DM). This model is designed to assist enterprises, research institutions, and experts and scholars in observing the core pre- and post-treatment indicators of target patients according to the logical sequence of the patient journey, and rapidly analyze cohort samples of T2DM patients using synthetic data generated by the model to derive real-world medical insights.
In terms of functionality, by adjusting time nodes and targeting large-scale cohorts of T2DM patients at different time periods, the model enables comprehensive observation of the visit journey of diabetes patients across multiple dimensions, including patient profiles, comorbidities and complications, blood glucose indicators, diagnosis and treatment pathways, patient prognosis, and switching of treatment plans.