Passive sensing data predicts stress in university students: a supervised machine learning method for digital phenotyping

• Artur Shvetcov,
• Joost Funke Kupper,
• Wu-Yi Zheng,
• Aimy Slade,
• Jin Han,
• Alexis Whitton,
• Michael Spoelma,
• Leonard Hoon,
• Kon Mouzakis,
• Rajesh Vasa,
• Sunil Gupta,
• Svetha Venkatesh,
• Jill Newby,
• Helen Christensen

Affiliations

Artur Shvetcov

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia

Joost Funke Kupper

Applied Artificial Intelligence Institute, Deakin University, Burwood, VIC, Australia

Wu-Yi Zheng

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia

Aimy Slade

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia

Jin Han

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia

Alexis Whitton

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia

Michael Spoelma

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia

Leonard Hoon

Applied Artificial Intelligence Institute, Deakin University, Burwood, VIC, Australia

Kon Mouzakis

Applied Artificial Intelligence Institute, Deakin University, Burwood, VIC, Australia

Rajesh Vasa

Applied Artificial Intelligence Institute, Deakin University, Burwood, VIC, Australia

Sunil Gupta

Applied Artificial Intelligence Institute, Deakin University, Geelong, VIC, Australia

Svetha Venkatesh

Applied Artificial Intelligence Institute, Deakin University, Geelong, VIC, Australia

Jill Newby

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia

Helen Christensen

Black Dog Institute, University of New South Wales, Sydney, NSW, Australia