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Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data
Michal Ozery-Flato, Chen Yanover, Assaf Gottlieb, Omer Weissbrod, Naama Parush Shear-Yashuv, Yaara Goldschmidt
181 - 185
10.3233/978-1-61499-753-5-181
Studies in Health Technology and Informatics
Volume 235: Informatics for Health: Connected Citizen-Led Wellness and Population Health
Abstract

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.

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