8 citations · 25 across the 8 of their papers we have counts for
8 papers
Medical visual question answering using joint self-supervised learning
Yuan Zhou, Jing Mei, Yiqin Yu +1
Visual Question Answering (VQA) becomes one of the most active research problems in the medical imaging domain. A well-known VQA challenge is the intrinsic diversity between the im…
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
Yiqin Yu, Pin-Yu Chen, Yuan Zhou +1
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. Ho…
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Yiqin Yu, Xu Min, Shiwan Zhao +5
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions. At the s…
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
Tengteng Zhang, Yiqin Yu, Jing Mei +3
The PICO framework (Population, Intervention, Comparison, and Outcome) is usually used to formulate evidence in the medical domain. The major task of PICO extraction is to extract…
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Eryu Xia, Xin Du, Jing Mei +8
Cluster analysis aims at separating patients into phenotypically heterogenous groups and defining therapeutically homogeneous patient subclasses. It is an important approach in dat…
From Risk Prediction Models to Risk Assessment Service: A Formulation of Development Paradigm
Eryu Xia, Yiqin Yu, Enliang Xu +2
Risk assessment services fulfil the task of generating a risk report from personal information and are developed for purposes like disease prognosis, resource utilization prioritiz…
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
Jing Mei, Shiwan Zhao, Feng Jin +3
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention. EHR data consist of a sequence of medical visits, i.e. a multivar…
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Jing Mei, Eryu Xia, Xiang Li +1
Precision medicine requires the precision disease risk prediction models. In literature, there have been a lot well-established (inter-)national risk models, but when applying them…