Artificial Intelligence Methodologies for Data Management
This study analyses the main challenges, trends, technological approaches, and artificial intelligence methods developed by new researchers and professionals in the field of machine learning, with an emphasis on the most outstanding and relevant works to date. This literature review evaluates the ma...
Saved in:
Main Authors: | Joel Serey, Luis Quezada, Miguel Alfaro, Guillermo Fuertes, Manuel Vargas, Rodrigo Ternero, Jorge Sabattin, Claudia Duran, Sebastian Gutierrez |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/5aa0c8095c7749249c66e6e3fa11e45b |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Big Data, artificial intelligence and laboratory medicine: time for integration
by: Gruson Damien
Published: (2021) -
Digital conversations about depression among Hispanics and non-Hispanics in the US: a big‐data, machine learning analysis identifies specific characteristics of depression narratives in Hispanics
by: Ruby Castilla-Puentes, et al.
Published: (2021) -
Conceptualising Artificial Intelligence as a Digital Healthcare Innovation: An Introductory Review
by: Arora A
Published: (2020) -
Brain Immunoinformatics: A Symmetrical Link between Informatics, Wet Lab and the Clinic
by: Ismini Papageorgiou, et al.
Published: (2021) -
Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?
by: Mina Ashraf
Published: (2020)