AI in Health: Urban Intervention

Commenced on

1 November 2019

completed

PI

YUEN Belinda (LKYCIC, SUTD)

Co-PI

CHEUNG Ngai-Man (Man) (ISTD, SUTD), JOYCE Sam Conrad (ASD, SUTD), COMAROFF Joshua (Yale-NUS)

Team

DIETRICH Anna Valeria, LIM Kelly Xin Hui, WANG Jiaxuan (LKYCIC, SUTD), IBRAHIM Nazim (ASD, SUTD)

Partners & sponsors

Changi General Hospital, Singhealth, Tampines Town Council

Physical activity such as walking provides an important nexus through which the built environment can affect health including chronic disease prevention and management, particularly in older adulthood. This component project of the SUTD Healthcare Wellness, Independence and Empowerment Research Programme seeks to understand health-optimized social-urban interaction via AIApplying the built environment-health lens, we aim to combine the state-of-the-art urban planning approaches with advanced AI and Machine Learning techniques to study how the physical activity of walking can improve health and what kind of built environment can support the walking needs of both individual and community to promote more active, healthy lifestyles.

 

 

SUTD Tech Note

 

Note 1 – Strolling around a Singapore town: What makes a neighborhood ideal for walking?