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Contrastive learning improves critical event prediction in COVID-19 patients.

T. Wanyan, H. Honarvar, S. Jaladanki, C. Zang, N. Naik, S. Somani, J. Freitas, I. Paranjpe, A. Vaid, J. Zhang, R. Miotto, Z. Wang, G. Nadkarni, M. Zitnik, A. Azad, F. Wang, Y. Ding, и B. Glicksberg. Patterns, 2 (12): 100389 (2021)

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Contrastive learning improves critical event prediction in COVID-19 patients.T. Wanyan, H. Honarvar, S. Jaladanki, C. Zang, N. Naik, S. Somani, J. Freitas, I. Paranjpe, A. Vaid, J. Zhang и 8 other автор(ы). Patterns, 2 (12): 100389 (2021)Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.T. Wanyan, A. Vaid, J. Freitas, S. Somani, R. Miotto, G. Nadkarni, A. Azad, Y. Ding, и B. Glicksberg. IEEE Trans. Big Data, 7 (1): 38-44 (2021)Biomedical Knowledge Graph Refinement and Completion Using Graph Representation Learning and Top-K Similarity Measure.I. Ebeid, M. Hassan, T. Wanyan, J. Roper, A. Seal, и Y. Ding. iConference (1), том 12645 из Lecture Notes in Computer Science, стр. 112-123. Springer, (2021)Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.T. Wanyan, M. Lin, E. Klang, K. Menon, F. Gulamali, A. Azad, Y. Zhang, Y. Ding, Z. Wang, F. Wang и 2 other автор(ы). BCB, стр. 9:1-9:9. ACM, (2022)Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN.T. Wanyan, C. Zhang, A. Azad, X. Liang, D. Li, и Y. Ding. CoRR, (2020)Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.T. Wanyan, M. Lin, Y. Ding, B. Glicksberg, F. Wang, и Y. Peng. ICHI, стр. 101-110. IEEE, (2023)Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.T. Wanyan, J. Zhang, Y. Ding, A. Azad, Z. Wang, и B. Glicksberg. CoRR, (2021)Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations.M. Lin, Y. Xiao, B. Hou, T. Wanyan, M. Sharma, Z. Wang, F. Wang, S. Tassel, и Y. Peng. CoRR, (2023)Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.T. Wanyan, H. Honarvar, A. Azad, Y. Ding, и B. Glicksberg. Data Intell., 3 (3): 329-339 (2021)Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.J. Lee, T. Wanyan, Q. Chen, T. Keenan, B. Glicksberg, E. Chew, Z. Lu, F. Wang, и Y. Peng. MLMI@MICCAI, том 13583 из Lecture Notes in Computer Science, стр. 11-20. Springer, (2022)

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