A systematic review of data mining and machine learning for air pollution epidemiology

A systematic review of data mining and machine learning for air pollution epidemiology

Abstract Background Data measuring airborne pollutants, public health and environmental factors are increasingly being stored and merged. These big datasets offer great potential, but also challenge traditional epidemiological methods. This has motivated the exploration of alternative methods to mak...

Full description

Bibliographic Details
Main Authors: Colin Bellinger, Mohomed Shazan Mohomed Jabbar, Osmar Zaïane, Alvaro Osornio-Vargas
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Public Health
Subjects:
Epidemiology
Air pollution
Exposure
Data mining
Big data
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12889-017-4914-3

Internet

http://link.springer.com/article/10.1186/s12889-017-4914-3

Similar Items