no code implementations • 26 Sep 2023 • Yaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, Degui Zhi, Shuiwang Ji
Genome-wide association studies (GWAS) are used to identify relationships between genetic variations and specific traits.
no code implementations • 19 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.
1 code implementation • 3 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.
1 code implementation • 22 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.