Cargando…
Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database
The application of machine learning (ML) for use in generating insights and making predictions on new records continues to expand within the medical community. Despite this progress to date, the application of time series analysis has remained underexplored due to complexity of the underlying techni...
Autores principales: | Olsavszky, Victor, Dosius, Mihnea, Vladescu, Cristian, Benecke, Johannes |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400312/ https://www.ncbi.nlm.nih.gov/pubmed/32664331 http://dx.doi.org/10.3390/ijerph17144979 |
Ejemplares similares
-
Retrospective analysis and time series forecasting with automated machine learning of ascariasis, enterobiasis and cystic echinococcosis in Romania
por: Benecke, Johannes, et al.
Publicado: (2021) -
Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases
por: Li, Bing, et al.
Publicado: (2008) -
Preparing for the ICD-10-CM Transition: Automated Methods for Translating ICD Codes in Clinical Phenotype Definitions
por: Fung, Kin Wah, et al.
Publicado: (2016) -
Automated Time Series Modeling for Piezometers in the National Database of the Netherlands
por: Zaadnoordijk, Willem J., et al.
Publicado: (2018) -
Changes from ICD-10 to ICD-11 and future directions
in psychiatric classification
por: Gaebel, Wolfgang, et al.
Publicado: (2020)