Modeling the temporal succession of phenotypes & environnnental cues

这个项目二作为一个假设-测试-验证循环的书挡， 神经发育疾病的组成部分。对于第一个书挡：在大型医疗保健的背景下， 系统，我们使用处理后的电子健康记录（通过自然语言处理NLP）， 确定在评估期间观察到和/或获得的多个健康/临床属性的时间进程。 护理交付过程。然后，与项目4合作，使用这些数据来定义时间共病 这些疾病的轨迹，并确定在多大程度上有共同的现象 尤其是在时间上。对于第二个书挡：那些基因组变异/序列， 预测/假设以定义先前以临床轨迹为特征的亚组，或预测 常规生物标志物/临床发现和/或（最优选但最具挑战性的）预测差异 治疗反应

This project two serves as the bookends of a hypothesis-test-verify cycle to define the shared and distinct components of neurodevelopmental diseases. For the first bookend: In the context of a large healthcare system, we use the processed electronic health records (through Natural Language Processing¿NLP) to determine the temporal course of multiple health/clinical attributes observed and/or obtained during the course of care delivery. These then are used, in collaboration with Project 4 to define temporal co-morbidity trajectories for each of these diseases and to determine the extent to which there is shared phenomenology particularly in time. For the second bookend: those genomic variants/sequences that are predicted/hypothesized to define subgroups previously characterized by clinical trajectories, or predict conventional biomarkers/clinical findings and/or (most preferably but most challenging) predict differential therapeutic responsiveness.