no code implementations • 25 Feb 2023 • Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer Syeda-Mahmood
Visual Question Answering (VQA) becomes one of the most active research problems in the medical imaging domain.
no code implementations • 13 Jan 2021 • Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei
With the successful adoption of machine learning on electronic health records (EHRs), numerous computational models have been deployed to address a variety of clinical problems.
no code implementations • 24 Jul 2020 • Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.
no code implementations • 30 Apr 2020 • Tengteng Zhang, Yiqin Yu, Jing Mei, Zefang Tang, Xiang Zhang, Shaochun Li
The major task of PICO extraction is to extract sentences from medical literature and classify them into each class.
no code implementations • 1 Mar 2019 • Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jian-Zeng Dong, Shaochun Li
The results demonstrate cluster analysis using outcome-driven multi-task neural network as promising for patient classification and subtyping.
no code implementations • 17 Oct 2018 • Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention.
no code implementations • 31 Jul 2017 • Jing Mei, Eryu Xia, Xiang Li, Guotong Xie
Precision medicine requires the precision disease risk prediction models.