Descripción
|
|
---|---|
In the last few years, there has been a growing expectation created about the analysis of large amounts of data often available in organizations, which has been both scrutinized by the academic world and successfully exploited by industry. Nowadays, two of the most common terms heard in scientific circles are Big Data and Deep Learning. In this double review, we aim to shed some light on the current state of these different, yet somehow related branches of Data Science, in order to understand the current state and future evolution within the healthcare area. We start by giving a simple description of the technical elements of Big Data technologies, as well as an overview of the elements of Deep Learning techniques, according to their usual description in scientific literature | |
Internacional
|
Si |
JCR del ISI
|
Si |
Título de la revista
|
Applied sciences |
ISSN
|
20763417 |
Factor de impacto JCR
|
|
Información de impacto
|
|
Volumen
|
9 |
DOI
|
10.3390/app9112331 |
Número de revista
|
11 |
Desde la página
|
1 |
Hasta la página
|
34 |
Mes
|
SIN MES |
Ranking
|