Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset

Open Access

Peer-reviewed

Research Article

Wei Luo ,

* E-mail: wei.luo@deakin.edu.au

Affiliation Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia
⨯
Thin Nguyen,

Affiliation Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia
⨯
Melanie Nichols,

Affiliation World Health Organization Collaborating Centre for Obesity Prevention, Deakin University, Geelong, Victoria, Australia
⨯
Truyen Tran,

Affiliation Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia
⨯
Santu Rana,

Affiliation Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia
⨯
Sunil Gupta,

Affiliation Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia
⨯
Dinh Phung,

Affiliation Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia
⨯
Svetha Venkatesh,

Affiliation Centre for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, Victoria, Australia
⨯
Steve Allender

Affiliation World Health Organization Collaborating Centre for Obesity Prevention, Deakin University, Geelong, Victoria, Australia
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