Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled …

CK Wong, DTY Ho, AR Tam, M Zhou, YM Lau… - BMJ open, 2020 - bmjopen.bmj.com
Introduction There is an outbreak of COVID-19 worldwide. As there is no effective therapy or
vaccine yet, rigorous implementation of traditional public health measures such as isolation …

[HTML][HTML] Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patients

KC Un, CK Wong, YM Lau, JCY Lee, FCC Tam… - Scientific reports, 2021 - nature.com
Patients infected with SARS-CoV-2 may deteriorate rapidly and therefore continuous
monitoring is necessary. We conducted an observational study involving patients with mild …

Dispatching heuristic for wafer fabrication

LH Lee, LC Tang, SC Chan - Proceeding of the 2001 Winter …, 2001 - ieeexplore.ieee.org
As the semiconductor industry moves into the next millennium, companies increasingly will
be faced with production obstacles that impede their ability to remain competitive. Effective …

Biovitals™: a personalized multivariate physiology analytics using continuous mobile biosensors

J Chen, M Yan, RLC Howe, NW Tong… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
More than 50% of the whole world lives with chronic diseases leading to a global economic
burden of 47 trillion dollars. Healthcare organizations are moving towards managing …

[HTML][HTML] Protocol: Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a …

CK Wong, DTY Ho, AR Tam, M Zhou, YM LAU… - BMJ Open, 2020 - ncbi.nlm.nih.gov
Objective To explore the potential of using wearable biosensors to continuously monitor
multidimensional physiological parameters for early detection of COVID-19 clinical …

[CITATION][C] Factors affecting the perception and intention of Singaporeans to adopt mHealth application: An Empirical study

SC Chan - University of Nottingham

[CITATION][C] Wafer Fab Scheduling: Heuristics Algorithms for Reducing Throughput Time Under Heavy Loading

SC Chan - 2000 - National University of Singapore