Cargando…
Serverless OpenHealth at data commons scale—traversing the 20 million patient records of New York’s SPARCS dataset in real-time
In a previous report, we explored the serverless OpenHealth approach to the Web as a Global Compute space. That approach relies on the modern browser full stack, and, in particular, its configuration for application assembly by code injection. The opportunity, and need, to expand this approach has s...
Autores principales: | Almeida, Jonas S., Hajagos, Janos, Saltz, Joel, Saltz, Mary |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338105/ https://www.ncbi.nlm.nih.gov/pubmed/30671301 http://dx.doi.org/10.7717/peerj.6230 |
Ejemplares similares
-
Spatio-temporal Analysis for New York State SPARCS Data
por: Chen, Xin, et al.
Publicado: (2017) -
ImageBox 2 – Efficient and Rapid Access of Image Tiles from Whole-Slide Images Using Serverless HTTP Range Requests
por: Bremer, Erich, et al.
Publicado: (2020) -
A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids
por: Deng, Jianyuan, et al.
Publicado: (2021) -
Investigation of commonly used aortic aneurysm growth rate metrics: Comparing their suitability for clinical and research applications
por: Abell-Hart, Kayley, et al.
Publicado: (2023) -
Sparc: a sparsity-based consensus algorithm for long erroneous sequencing reads
por: Ye, Chengxi, et al.
Publicado: (2016)