Cargando…
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...
Autores principales: | Hardin, Jill, Reps, Jenna M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
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 |
Ejemplares similares
-
When can we compute analytically lookback time, age of the universe, and luminosity distance?
por: Jose, Sonia, et al.
Publicado: (2022) -
Lookback Exercise with Imported Crimean-Congo Hemorrhagic Fever, Senegal and France
por: Tarantola, Arnaud, et al.
Publicado: (2006) -
Use of hospitalisation history (lookback) to determine prevalence of chronic diseases: impact on modelling of risk factors for haemorrhage in pregnancy
por: Chen, Jian Sheng, et al.
Publicado: (2011) -
The impact of the lookback period and definition of confirmatory events on the identification of incident cancer cases in administrative data
por: Czwikla, Jonas, et al.
Publicado: (2017) -
Brand Differences in Underage Tobacco Use as Evidence for Targeted Sanctions—Reviving the Lookback
por: Friedman, Abigail S., et al.
Publicado: (2023)