all AI news
Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam. (arXiv:2211.04781v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
National Health and Nutritional Status Survey (NHANSS) is conducted annually
by the Ministry of Health in Negara Brunei Darussalam to assess the population
health and nutritional patterns and characteristics. The main aim of this study
was to discover meaningful patterns (groups) from the obese sample of NHANSS
data by applying data reduction and interpretation techniques. The mixed nature
of the variables (qualitative and quantitative) in the data set added novelty
to the study. Accordingly, the Categorical Principal Component (CATPCA)
technique …
arxiv case case study data health machine machine learning machine learning techniques national health profiling study subgroups survey survey data