An-Kwok Ian Wong

TL;DR: This work addresses issues by providing a standard, multi-institutional database and a novel scoring metric through a public competition: the PhysioNet/Computing in Cardiology Challenge 2020, setting a new bar in reproducibility for public data science competitions.

TL;DR: In this article, the authors examined racial and ethnic discrepancies between pulse oximetry (Spo2) and arterial oxygen saturation (Sao2) measured by arterial blood gas (ABG), and their associations with clinical outcomes.

TL;DR: In this article, a wearable module equipped with sensors placed on a subject connected to a computer-linked module, to monitor life signs like heartbeat waveforms and body temperatures is presented.

TL;DR: Computerized clinical event monitoring systems should be considered when developing methods to detect adverse drug reactions as part of intensive care unit patient safety surveillance systems, since they can automate the detection of these events using signals that have good performance characteristics by processing commonly available laboratory and medication information.

TL;DR: This Challenge provided several innovations, including a novel evaluation metric that considers different misclassification errors for different cardiac abnormalities, reflecting the clinical reality that some diagnoses have similar outcomes and varying risks.