Xinyu Dong

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction

2022 · PubMed

Deep-learning-based clinical decision support using structured electronic health records (EHR) has been an active research area for predicting risks of mortality and diseases. Meanwhile, large amounts of narrative clinical notes provide complementary information, but are …

Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction

2023 · PubMed

Class imbalance issues are prevalent in the medical field and significantly impact the performance of clinical predictive models. Traditional techniques to address this challenge aim to rebalance class proportions. They generally assume that the rebalanced …

DRC: Discrete Representation Classifier With Salient Features via Fixed-Prototype

2024 · IEEE Transactions on Circuits and Systems for Video Technology

Image classification models including convolutional neural networks (CNN) and vision transformers (ViT) commonly employ a fully connected (FC) layer as the classifier. However, the fully connected nature of FC brings large amounts of weight parameters, …