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Zhaoyang Bu

As seen in: Nature
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Articles

A cough sound-based deep learning algorithm for accessible prompt detection of chronic obstructive pulmonary disease with smartphones

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By Jun L Zhou, Jingwen Huang, Qian Wang, Huifang Cao, Lin Huang, Si Chen, Wenyu Zhu, Jiaxuan Mao, Yang Liu Verified, Zhaoyang Bu, Mo Yang, Yi Zhou, Ethan Fan, Xianwen Sun, Ping Wang, Min Zhou, Jieming Qu, Junhai Yan, Xiaolu Ruan, Leanne Tong, Dongxing Zhao
| Nature Verified
Abstract Early COPD diagnosis is vital for effective management, yet conventional tools such as professional spirometers are often inaccessible in resource-limited settings. We present Cough Search, a smartphone-based deep learning algorithm that uses voluntary cough sounds to detect COPD, offering a cost-efficient and accessible diagnostic approach. The presented COPD detection algorithm (Cough Search) employs a transformer-based neural network model.
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A device-invariant multi-modal learning framework for respiratory disease classification - npj Digital Medicine

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By Mo Yang, Xuefei Liu, Wei Du Verified, Yang Liu, Wenyu Zhu, Qian Wang, Si Chen, Min Zhou, Zhaoyang Bu, Jiaxuan Mao, Jie-ming Qu
| Nature Verified
Abstract Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respiratory disease screening suitable for self-management care in a home setting, yet their utility is limited by device heterogeneity, population diversity, and challenges in multimodal integration.
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