The Development of Machine Learning Infused Outpatient Prognostic Models for tackling Impacts of Climate Change and ensuring Delivery of Effective Population Health Services

2019 ◽  
Author(s):  
Jaya Shankar Vuppalapati ◽  
Santosh Kedari ◽  
Anitha Ilapakurti ◽  
Chandrasekar Vuppalapati ◽  
Sharat Kedari ◽  
...  
Keyword(s):  
Climate Change ◽  
Machine Learning ◽  
Health Services ◽  
Population Health ◽  
Prognostic Models ◽  
Effective Population ◽  
Impacts Of Climate Change

scholarly journals A Comparative Analysis of Countries' Performance According to SDG Indicators based on Machine Learning

2021 ◽  
Author(s):  
Guilherme Souza ◽  
Julian Santos ◽  
Gabriel SantClair ◽  
Janaina Gomide ◽  
Luan Santos
Keyword(s):  
Climate Change ◽  
Machine Learning ◽  
Economic Growth ◽  
Principal Component Analysis ◽  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Principal Component ◽  
The Sustainable Development ◽  
Development Goals ◽  
Impacts Of Climate Change

The Sustainable Development Goals (SDGs) are part of a global effort to reduce the impacts of climate change, promoting social justice and economic growth. The United Nations provides a database with hundreds of indicators to track the SDGs since 2016 for a total of 302 regions. This work aims to assess which countries are in a similar situation regarding sustainable development. Principal Component Analysis was used to reduce the dimension of the dataset and k-means algorithm was used to cluster countries according to their SDGs indicators. For the years of 2016, 2017 and 2018 were obtained 11, 13 and 11 groups, respectively. This paper also analyses clusters changes throughout the years.

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

The economywide impacts of climate change on Philippine agriculture

2016 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)
Keyword(s):  
Climate Change ◽  
Impacts Of Climate Change

Impacts of Climate Change on Length of Growing Period

2014 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)
Keyword(s):  
Climate Change ◽  
Growing Period ◽  
Impacts Of Climate Change

The Health Impacts of Climate Change

2018 ◽  
Vol 21 (2) ◽  
pp. 52-53
Author(s):  
Colin Tukuitonga
Keyword(s):  
Climate Change ◽  
Health Impacts ◽  
Impacts Of Climate Change
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