scholarly journals Supervised Machine Learning for Predicting Length of Stay After Lumbar Arthrodesis: A Comprehensive Artificial Intelligence Approach

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Christine M. Etzel ◽  
Ashwin Veeramani ◽  
Andrew S. Zhang ◽  
Christopher L. McDonald ◽  
Kevin J. DiSilvestro ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Length Of Stay ◽  
Supervised Machine Learning ◽  
Lumbar Arthrodesis ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

scholarly journals Artificial Intelligence Approach for Analyzing Anaemia Prevalence in Children and Adolescents in BRICS Countries: A Review

2021 ◽  
Vol 9 (1) ◽  
pp. 01-10
Author(s):  
Natisha Dukhi ◽  
Ronel Sewpaul ◽  
Machoene Derrick Sekgala ◽  
Olushina Olawale Awe
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Children And Adolescents ◽  
Risk Indicators ◽  
Machine Learning Techniques ◽  
Policy Makers ◽  
Public Health Burden ◽  
Brics Countries ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

Anemia prevalence, especially among children and adolescents, is a serious public health burden in the BRICS countries. This article gives an overview of the current anaemia status in children and adolescents in three BRICS countries, as part of a study that utilizes an artificial intelligence approach for analyzing anaemia prevalence in children and adolescents in South Africa, India and Russia. It posits that the use of machine learning in this area of health research is still novel. The weightage assessment of the crosslink between anaemia risk indicators using a machine learning approach will assist policy makers in identifying the areas of priority to intervene in the BRICS participating countries. Health interventions utilizing artificial intelligence and more specifically, machine learning techniques, remains nascent in LMICs but could lead to improved health outcomes.

scholarly journals Machine Learning to Identify Fake News for COVID-19

2021 ◽  
Author(s):  
Marianna Isaakidou ◽  
Emmanouil Zoulias ◽  
Marianna Diomidous
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
European Commission ◽  
Decision Trees ◽  
International Organizations ◽  
News Daily ◽  
Fake News ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

International Organizations are seriously concerned about the fake news phenomenon. UNESCO has defined the term of misinformation/disinformation, which are the two faces of fake news. European Commission has conducted a survey about “Fake News” through EU citizens to estimate the awareness and people behaviour related to the appearance of fake news and disinformation on electronic. The findings are quite worrying, since about 40% come across fake news daily and 85% evaluate fake news as a problem. The aim of this work is to introduce an Artificial Intelligence approach, the Decision Trees algorithm to identify fake news on the COVID-19.

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