| Literature DB >> 28423779 |
Michal Ozery-Flato1, Chen Yanover1, Assaf Gottlieb1, Omer Weissbrod1, Naama Parush Shear-Yashuv1, Yaara Goldschmidt1.
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.Keywords: Feature engineering; electronic health records; longitudinal data
Mesh:
Year: 2017 PMID: 28423779
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630