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

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 left-ce...

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Detalles Bibliográficos
Autores principales: Hardin, Jill, Reps, Jenna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8403343/
https://www.ncbi.nlm.nih.gov/pubmed/34454423
http://dx.doi.org/10.1186/s12874-021-01370-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8403343/
https://www.ncbi.nlm.nih.gov/pubmed/34454423
http://dx.doi.org/10.1186/s12874-021-01370-2

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