Evaluating the impact of covariate lookback times on performance of patient-level prediction models

Abstract Background The goal of our study is to examine the impact of the lookback length when engineering features to use in developing predictive models using observational healthcare data. Using a longer lookback for feature engineering gives more insight about patients but increases the issue of...

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Bibliographic Details
Main Authors: Jill Hardin, Jenna M. Reps
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:https://doi.org/10.1186/s12874-021-01370-2