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...
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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
BMC,
2017-11-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |