52 citations · 65 across the 5 of their papers we have counts for
3 papers · 1 filter
When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion
Kejing Yin, Haizhou Xu, Wenfang Yao +5
Machine learning holds promise for advancing clinical decision support, yet it remains unclear when multimodal learning truly helps in practice, particularly under modality missing…
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
Kejing Yin, William K. Cheung, Benjamin C. M. Fung +1
Non-negative tensor factorization has been shown a practical solution to automatically discover phenotypes from the electronic health records (EHR) with minimal human supervision.…
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Ardavan Afshar, Kejing Yin, Sherry Yan +4
Existing tensor factorization methods assume that the input tensor follows some specific distribution (i.e. Poisson, Bernoulli, and Gaussian), and solve the factorization by minimi…