Article

Evaluating the Impact of Covariate Lookback Times on Performance of Patient-Level Prediction Models

2021-02-23

Abstract excerpt

<h4>Background: </h4> The goal of our study is to provide guidance for deciding which length of lookback to implement when engineering features to use when developing predictive models using observational healthcare data. Using a longer lookback for feature engineering gives more insight about patients but increases the issue of left-censoring. <h4>Methods: </h4>: We used five US observational databases to develop...

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Literature Corpus work: 841a4d63-b9fa-5b00-81e5-d8bcaae55fbe
DOI: 10.21203/rs.3.rs-227607/v1

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