Cargando…
Big Data and Clinicians: A Review on the State of the Science
BACKGROUND: In the past few decades, medically related data collection saw a huge increase, referred to as big data. These huge datasets bring challenges in storage, processing, and analysis. In clinical medicine, big data is expected to play an important role in identifying causality of patient sym...
Autores principales: | Wang, Weiqi, Krishnan, Eswar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Gunther Eysenbach
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288113/ https://www.ncbi.nlm.nih.gov/pubmed/25600256 http://dx.doi.org/10.2196/medinform.2913 |
Ejemplares similares
-
Big Data, Data Science, and Causal Inference: A Primer for Clinicians
por: Raita, Yoshihiko, et al.
Publicado: (2021) -
Big Data and Big Science
por: Di Meglio, Alberto
Publicado: (2014) -
Chronic kidney disease as a risk factor for incident gout among men and women: retrospective cohort study using data from the Framingham Heart Study
por: Wang, Weiqi, et al.
Publicado: (2015) -
Big data and machine learning for materials science
por: Rodrigues, Jose F., et al.
Publicado: (2021) -
Impact of big data resources on clinicians’ activation of prior medical knowledge
por: Wang, Sufen, et al.
Publicado: (2022)