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Fadi B. Nahab
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2020 – today
- 2024
- [j1]Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Amit J. Shah, Duc H. Do, Randall J. Lee, Gari D. Clifford, Fadi B. Nahab, Xiao Hu:
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms. IEEE J. Biomed. Health Informatics 28(5): 2650-2661 (2024) - [c1]Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang:
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. SIGIR 2024: 2589-2593 - [i3]Runze Yan, Cheng Ding, Ran Xiao, Aleksandr Fedorov, Randall J. Lee, Fadi B. Nahab, Xiao Hu:
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals. CoRR abs/2404.15353 (2024) - [i2]Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang:
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. CoRR abs/2405.07500 (2024) - 2023
- [i1]Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Fadi B. Nahab, Xiao Hu:
Reconsideration on evaluation of machine learning models in continuous monitoring using wearables. CoRR abs/2312.02300 (2023)
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last updated on 2024-10-24 21:30 CEST by the dblp team
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