Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques – A Case Study from Brunei Darussalam

U. Khalil; O.A. Malik; D.T.C. Lai; O.S. King

doi:10.48550/arXiv.2211.04781

Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques – A Case Study from Brunei Darussalam

U. Khalil
, O.A. Malik
, D.T.C. Lai
, O.S. King

Research output: Other contribution › peer-review

Original language	Undefined/Unknown
DOIs	https://doi.org/10.48550/arXiv.2211.04781
Publication status	Published - 2022

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10.48550/arXiv.2211.04781

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title = "Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques – A Case Study from Brunei Darussalam",

author = "U. Khalil and O.A. Malik and D.T.C. Lai and O.S. King",

year = "2022",

doi = "10.48550/arXiv.2211.04781",

language = "Undefined/Unknown",

type = "Other",

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T1 - Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques – A Case Study from Brunei Darussalam

AU - Khalil, U.

AU - Malik, O.A.

AU - Lai, D.T.C.

AU - King, O.S.

PY - 2022

Y1 - 2022

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85142859438&partnerID=MN8TOARS

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DO - 10.48550/arXiv.2211.04781

M3 - Other contribution

ER -

Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques – A Case Study from Brunei Darussalam

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