Ozery-Flato Michal, Yanover Chen, Gottlieb Assaf, Weissbrod Omer, Parush Shear-Yashuv Naama, Goldschmidt Yaara
Healthcare Informatics Department, IBM Research - Haifa, Israel.
Stud Health Technol Inform. 2017;235:181-185.
We present a framework for feature engineering, tailored for longitudinal structured data, such as electronic health records (EHRs). To fast-track feature engineering and extraction, the framework combines general-use plug-in extractors, a multi-cohort management mechanism, and modular memoization. Using this framework, we rapidly extracted thousands of features from diverse and large healthcare data sources in multiple projects.
我们提出了一个针对纵向结构化数据（如电子健康记录（EHR））量身定制的特征工程框架。为了快速推进特征工程和提取，该框架结合了通用插件提取器、多队列管理机制和模块化记忆功能。使用此框架，我们在多个项目中从多样且庞大的医疗数据源中快速提取了数千个特征。
