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Yingjie Jiao on Muck Rack

Yingjie Jiao

As seen in: Nature, MDPI
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Articles

Interpretable multi-label prediction of institution-defined IgA nephropathy clinical patterns using routine cross-sectional clinical and laboratory data

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By Yingjie Jiao, Yun Zheng, Yuehui Liao, Shasha Lin, Weiji Yang, Qun Jin, Guang Yang, Xiaobo Lai, Panfei Li, Yasheng Huang
| Nature Verified
Abstract IgA nephropathy (IgAN) clinical heterogeneity leads to inconsistent documentation of multiple, institution-specific pattern labels, creating an imbalanced multi-label phenotyping challenge. We developed an interpretable hybrid model, the Bidirectional Long Short-Term Memory-Convolutional Neural Network with Class-Specific Attention (BiLSTM-CNN-CAT), using routine cross-sectional data from 500 biopsy-confirmed IgAN patients.
Open in Who Shared Issue with article?

Multi-Type Task Assignment Algorithm for Heterogeneous UAV Cluster Based on Improved NSGA-Ⅱ

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By Yunchong Zhu, Yangang Liang, Yingjie Jiao, Haipeng Ren
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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