1 code implementation • 26 Apr 2024 • Cheng Ding, Zhicheng Guo, Zhaoliang Chen, Randall J Lee, Cynthia Rudin, Xiao Hu
However, large foundation models are typically trained on high-quality data, which poses a significant challenge, given the prevalence of poor-quality real-world data.
1 code implementation • 15 Apr 2024 • Runze Yan, Cheng Ding, Ran Xiao, Aleksandr Fedorov, Randall J Lee, Fadi Nahab, Xiao Hu
Atrial fibrillation (AF), a common cardiac arrhythmia, significantly increases the risk of stroke, heart disease, and mortality.
1 code implementation • 7 Nov 2022 • Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Amit Shah, Duc H. Do, Randall J Lee, Gari Clifford, Fadi B Nahab, Xiao Hu
To address this challenge, in this study, we propose to leverage AF alarms from bedside patient monitors to label concurrent PPG signals, resulting in the largest PPG-AF dataset so far (8. 5M 30-second records from 24100 patients) and demonstrating a practical approach to build large labeled PPG datasets.
no code implementations • 11 Aug 2021 • Cheng Ding, Ran Xiao, Duc Do, David Scott Lee, Shadi Kalantarian, Randall J Lee, Xiao Hu
Photoplethysmography (PPG) is a ubiquitous physiological measurement that detects beat-to-beat pulsatile blood volume changes and hence has a potential for monitoring cardiovascular conditions, particularly in ambulatory settings.