Cargando…
Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks
Different analytic techniques operate optimally with different types of data. As the use of EHR-based analytics expands to newer tasks, data will have to be transformed into different representations, so the tasks can be optimally solved. We classified representations into broad categories based on...
Autores principales: | Oh, Wonsuk, Steinbach, Michael S., Castro, M. Regina, Peterson, Kevin A., Kumar, Vipin, Caraballo, Pedro J., Simon, Gyorgy J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666864/ https://www.ncbi.nlm.nih.gov/pubmed/31437931 http://dx.doi.org/10.3233/SHTI190229 |
Ejemplares similares
-
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories
por: Simon, Gyorgy J., et al.
Publicado: (2020) -
A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus
por: Shen, Xinpeng, et al.
Publicado: (2021) -
Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
por: Li, Jia, et al.
Publicado: (2021) -
Multi-Task Learning to Identify Outcome-Specific Risk Factors that Distinguish Individual Micro and Macrovascular Complications of Type 2 Diabetes
por: Kim, Era, et al.
Publicado: (2018) -
Transformation of microbiology data into a standardised data representation using OpenEHR
por: Wulff, Antje, et al.
Publicado: (2021)