ITM 2.0: Advancing Translational Science in Metropolitan Chicago

该项目建议使用数据科学方法和几个具有临床记录的非常大的数据集，如IBM Watson Health MarketScan、Medicare、Medicaid和瑞典国家登记处，对唐氏综合症患者进行全面的临床研究。具体地说，该项目将进行探索性分析，以确定唐氏综合症患者的亚型和其他并存疾病，以及这些群体在非常大的数据集中的患病率，开发唐氏综合症不同亚型人群的生活轨迹和未来健康轨迹的预测模型，并在Advocate Lutheran General Hospital(拥有美国最大的唐氏综合症诊所之一)编制的更小、更深、更丰富的唐氏综合症数据库中验证这些预测模型。

This project proposes a comprehensive clinical research project about individuals with Down Syndrome using data science approaches and several very large datasets with clinical records, such as IBM Watson Health MarketScan, Medicare, Medicaid, and Swedish National Registries. Specifically this project will conduct exploratory analyses to identify subtypes of people with Down Syndrome and other co-morbidities and the prevalence of these groups in the very large datasets, develop a predictive model of the life trajectories and future health trajectories of people in the different sub-types of Down Syndrome, and validate these predictive models in the smaller, deeper and richer Down Syndrome dataset compiled by Advocate Lutheran General Hospital (with one of the largest Down Syndrome clinics in the US).