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Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.

M. Liu, Y. Ning, Y. Ke, Y. Shang, B. Chakraborty, M. Ong, R. Vaughan, и N. Liu. CoRR, (2024)

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Yilin Zhang

Yilin Zhou

Yilin Zhao

Yilin Vogel

Yilin Wang

Другие публикации лиц с тем же именем

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.M. Liu, S. Li, H. Yuan, M. Ong, Y. Ning, F. Xie, S. Saffari, Y. Shang, V. Volovici, B. Chakraborty и 1 other автор(ы). Artif. Intell. Medicine, (августа 2023)Research on Anti-Noise Performance of New Chaos Criterion.J. Cai, Y. Ning, W. Li, и L. Yao. DSA, стр. 503-504. IEEE, (2019)Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.F. Xie, H. Yuan, Y. Ning, M. Ong, M. Feng, W. Hsu, B. Chakraborty, и N. Liu. J. Biomed. Informatics, (2022)A de-identification tool for users in medical operations and public health.M. Salloway, X. Deng, Y. Ning, S. Kao, Y. Chen, G. Schaefer, J. Chin, E. Tai, и C. Tan. BHI, стр. 529-532. IEEE, (2016)Towards Clinical AI Fairness: Filling Gaps in the Puzzle.M. Liu, Y. Ning, S. Teixayavong, X. Liu, M. Mertens, Y. Shang, X. Li, D. Miao, J. Xu, D. Ting и 9 other автор(ы). CoRR, (2024)Feasibility of representing adherence to blood glucose monitoring through visualizations: A pilot survey study among healthcare workers.Y. Chen, S. Kao, M. Tan, Y. Ning, M. Salloway, W. Lin, K. Venkataraman, E. Hao, Y. Chow, E. Tai и 1 other автор(ы). Int. J. Medical Informatics, (2018)AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.F. Xie, Y. Ning, H. Yuan, B. Goldstein, M. Ong, N. Liu, и B. Chakraborty. CoRR, (2021)A translational perspective towards clinical AI fairness.M. Liu, Y. Ning, S. Teixayavong, M. Mertens, J. Xu, D. Ting, L. Cheng, J. Ong, Z. Teo, T. Tan и 5 other автор(ы). npj Digit. Medicine, (2023)AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.H. Yuan, F. Xie, M. Ong, Y. Ning, M. Chee, S. Saffari, H. Abdullah, B. Goldstein, B. Chakraborty, и N. Liu. J. Biomed. Informatics, (2022)A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study.Y. Ning, S. Li, M. Ong, F. Xie, B. Chakraborty, D. Ting, и N. Liu. AMIA, AMIA, (2022)

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