Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

18 October 2022

Papers citing "Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling"

7 / 7 papers shown

Title
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics L. Zheng Zhengyang Li Chang Dong W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 16 1 0 16 Oct 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion Xing Han Huy Nguyen Carl Harris Nhat Ho S. Saria MoE 39 16 0 05 Feb 2024
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions Suhan Cui Jiaqi Wang Yuan Zhong Han Liu Ting Wang Fenglong Ma 11 2 0 20 Jan 2024
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences Yikuan Li R. M. Wehbe F. Ahmad Hanyin Wang Yuan Luo VLM MedIm 129 82 0 27 Jan 2022
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records Zhen Xu David R. So Andrew M. Dai Mamba 37 51 0 03 Feb 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 100 179 0 25 Jan 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 191 1,674 0 06 Jun 2016