Cargando…
Biomedical heterogeneous data categorization and schema mapping toward data integration
Data integration is a well-motivated problem in the clinical data science domain. Availability of patient data, reference clinical cases, and datasets for research have the potential to advance the healthcare industry. However, the unstructured (text, audio, or video data) and heterogeneous nature o...
Autores principales: | Deshpande, Priya, Rasin, Alexander, Tchoua, Roselyne, Furst, Jacob, Raicu, Daniela, Schinkel, Michiel, Trivedi, Hari, Antani, Sameer |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149933/ https://www.ncbi.nlm.nih.gov/pubmed/37139170 http://dx.doi.org/10.3389/fdata.2023.1173038 |
Ejemplares similares
-
Synthetic biomedical data generation in support of In Silico Clinical Trials
por: Simalatsar, Alena
Publicado: (2023) -
Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research
por: Froese, Logan, et al.
Publicado: (2021) -
Editorial: Heterogeneous Computing for AI and Big Data in High Energy Physics
por: D’Agostino, Daniele, et al.
Publicado: (2021) -
Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data
por: Gootjes-Dreesbach, Luise, et al.
Publicado: (2020) -
A solution and practice for combining multi-source heterogeneous data to construct enterprise knowledge graph
por: Yan, Chenwei, et al.
Publicado: (2023)