[HTML][HTML] Applications of artificial intelligence to obesity research: scoping review of methodologies

R An, J Shen, Y Xiao - Journal of Medical Internet Research, 2022 - jmir.org
Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …

Smart healthcare support using data mining and machine learning

T Chatzinikolaou, E Vogiatzi, A Kousis… - IoT and WSN based Smart …, 2022 - Springer
Ever since the first cities were created, they have been dependent on technology to sustain
life. The smart city paradigm integrates advanced monitoring, sensing, communication, and …

[HTML][HTML] Predicting childhood obesity using machine learning: Practical considerations

ER Cheng, R Steinhardt, Z Ben Miled - BioMedInformatics, 2022 - mdpi.com
Previous studies demonstrate the feasibility of predicting obesity using various machine
learning techniques; however, these studies do not address the limitations of these methods …

Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches

I Rautiainen, S Äyrämö - … Sciences and Artificial Intelligence in Industry …, 2022 - Springer
Overweight and obesity are an increasing phenomenon worldwide. Reliable and accurate
prediction of future overweight or obesity early in the childhood could enable effective …

Mining data to deal with epidemics: case studies to demonstrate real world AI applications

C Nousi, P Belogianni, P Koukaras… - Handbook of Artificial …, 2022 - Springer
The massive growth of Big Data kickstarted a new era for data analytics and knowledge
discovery. Data mining algorithms are employed to analyze different types of data, which …

Predicting future overweight and obesity from childhood growth data: a case study

I Rautiainen, JP Kauppi, T Ruohonen, E Karhu… - … Sciences and Artificial …, 2022 - Springer
Overweight, obesity and diseases associated with them have been increasing rapidly during
the last few decades. The early detection of obesity risk is the key to preventive actions. This …

Establishment of Business Loan Default Prediction Model by Integrating Survival Analysis with Logistic Regression

YC Chang, KH Chang, YX Lin - Scientia Iranica, 2022 - scientiairanica.sharif.edu
An insufficient amount of capital conservation buffer would cause a financial institution to be
unable to withstand fluctuations in the economic cycle; while an excessive amount would …

Healthcare Support Using Data Mining: A Case Study on Stroke Prediction

G Michailidis, M Vlachos-Giovanopoulos… - Artificial Intelligence and …, 2022 - Springer
Data and information have become a valuable asset for small and big organizations in the
past few decades. Data is the main ingredient for strategic decision-making, which could …

Thermal Imaging Analysis in Detection of Childhood Obesity in Cervical Region Using Machine Learning Classifiers

R Rashmi, U Snekhalatha - Proceedings of the International e-Conference …, 2022 - Springer
Thermal imaging which uses infrared radiation can be used to quantify obesity in children.
The aim of this study is to determine the mean temperature in three body regions and to …