Cargando…
Significant EHR Feature-Driven T2D Inference: Predictive Machine Learning and Networks
Background: Electronic health records (EHR) play an important role for the redefinition of phenotypes in view of the wealth and heterogeneity of information now available from disparate data sources. A recent cross-sectional retrospective study has described the potential of EHR toward type 2 diabet...
Autores principales: | Preo, Nicolo', Capobianco, Enrico |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931876/ https://www.ncbi.nlm.nih.gov/pubmed/33693353 http://dx.doi.org/10.3389/fdata.2019.00030 |
Ejemplares similares
-
Topic Modeling for Interpretable Text Classification From EHRs
por: Rijcken, Emil, et al.
Publicado: (2022) -
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments
por: Wang, Michael, et al.
Publicado: (2021) -
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care
por: Kidwai-Khan, Farah, et al.
Publicado: (2022) -
Editorial: Big Data Analytics for Precision Health and Prevention
por: Capobianco, Enrico, et al.
Publicado: (2022) -
Network experiment designs for inferring causal effects under interference
por: Fatemi, Zahra, et al.
Publicado: (2023)