Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study.

ABSTRACT:

Background

Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm.

Objective

The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse.

Methods

This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and sec

SUBMITTER: Lamer A 

PROVIDER: S-EPMC9623460 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature