Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data
Michal Ozery-Flato, Chen Yanover, Assaf Gottlieb, Omer Weissbrod, Parush Shear-Yashuv Naama, Yaara Goldschmidt · Studies in health technology and informatics · 2017
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.