Back to Search
Start Over
Deep Learning Features in Atmospheric Chemistry: Prediction of Cancer Morbidity Due to Air Pollution
- Source :
- 2017 International Conference on Computational Science and Computational Intelligence (CSCI).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- Atmospheric Chemistry is important in public health. This paper highlights methodology aspects from analysis of atmospheric chemistry data in China, its correlation with cancer morbidity data, and impact on future cancer morbidity rate that are due to changes in climate.Forthcoming papers use DL for prediction. Research on cancer and analysis of cancer morbidity are provided by Liu Yuxin, Zhaorong Zhu [5].
- Subjects :
- medicine.medical_specialty
Methodology aspects
Public health
Mortality rate
05 social sciences
Air pollution
Cancer
020207 software engineering
02 engineering and technology
medicine.disease_cause
medicine.disease
Atmospheric chemistry
Environmental health
0202 electrical engineering, electronic engineering, information engineering
medicine
Environmental science
0501 psychology and cognitive sciences
050107 human factors
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 International Conference on Computational Science and Computational Intelligence (CSCI)
- Accession number :
- edsair.doi...........a094af301e6bd48c84282967ec602c98
- Full Text :
- https://doi.org/10.1109/csci.2017.307