phantomDB

We are sharing diganostic history of 2,000,000 phantom patients (1M phantoms generated from a national model, and 1M generated from Chicagoland African Americans trreated at the University of Chicago Medical Center), comprising time-stamped diagnostic and procedural codes, along with the generative model and software (python package https://pypi.org/project/teomim, all with a permissive license. We also share the generative algorithm and results that demonstrate via critical stress-test comparisons that it is difficult to differentiate between the training database and generated phantom patients. The research community will now have access to a high quality EHR database, validated to closely replicate real data without licensing constraints. The generative AI models for the national cohort and teh African-American cohort are also included. The new version is created to include the Data Dictionary, schema and a list of used ICD10 codes我们在此公开200万名仿真患者的诊疗历史数据：其中100万例仿真患者由全国性模型生成，另外100万例源自芝加哥地区非裔美国人就诊数据集，该数据集采集自芝加哥大学医学中心。数据集包含带时间戳的诊断与操作代码，同时附带对应的生成模型与软件（Python包https://pypi.org/project/teomim，所有内容均采用宽松许可协议）。我们还公开了生成算法与验证结果，通过严格的压力测试对比可证明，训练数据集与生成的仿真患者数据难以被区分。研究人员如今可获取高质量的电子健康记录（Electronic Health Record, EHR）数据集，该数据集经过验证可高度复刻真实医疗数据，且无许可使用限制。本次公开内容还包含针对全国队列与非裔美国人队列的生成式AI（Generative AI）模型。本次更新的新版本新增了数据字典、数据模式以及已使用的ICD-10代码列表。