An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance.
We aimed to gain a better understanding of how standardization of laboratory data can impact predictive model performance in multi-site datasets. We hypothesized that standardizing local laboratory codes to logical observation identifiers names and codes (LOINC) would produce predictive models that significantly outperform those learned utilizing local laboratory codes.
Author(s): Barda, Amie J, Ruiz, Victor M, Gigliotti, Tony, Tsui, Fuchiang Rich
DOI: 10.1093/jamiaopen/ooy063