Search Results for author: Degui Zhi

Found 4 papers, 2 papers with code

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data

no code implementations19 Mar 2023 Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu

In this work, we present PheME, an Ensemble framework using Multi-modality data of structured EHRs and unstructured clinical notes for accurate Phenotype prediction.

Ensemble Learning

Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data

1 code implementation3 Oct 2021 Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi

As a result, deep learning models developed for sequence modeling, like recurrent neural networks (RNNs) are common architecture for EHR-based clinical events predictive models.

Bayesian Optimization

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

1 code implementation22 May 2020 Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi

Deep learning (DL) based predictive models from electronic health records (EHR) deliver impressive performance in many clinical tasks.

Disease Prediction

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