Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/corr/abs-2211-04781
%A Khalil, Usman
%A Malik, Owais Ahmed
%A Lai, Daphne Teck Ching
%A King, Ong Sok
%D 2022
%J CoRR
%K dblp
%T Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam.
%U http://dblp.uni-trier.de/db/journals/corr/corr2211.html#abs-2211-04781
%V abs/2211.04781
@article{journals/corr/abs-2211-04781,
added-at = {2023-09-30T00:00:00.000+0200},
author = {Khalil, Usman and Malik, Owais Ahmed and Lai, Daphne Teck Ching and King, Ong Sok},
biburl = {https://www.bibsonomy.org/bibtex/2e64118853e17841eb0e54b0ec52fefd4/dblp},
ee = {https://doi.org/10.48550/arXiv.2211.04781},
interhash = {af250a99108ba6ae5b62b3b435e0ee21},
intrahash = {e64118853e17841eb0e54b0ec52fefd4},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T22:28:32.000+0200},
title = {Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques: A Case Study from Brunei Darussalam.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2211.html#abs-2211-04781},
volume = {abs/2211.04781},
year = 2022
}
