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Medical visual question answering using joint self-supervised learning
Visual Question Answering (VQA) becomes one of the most active research problems in the medical imaging domain.
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
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.
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
The major task of PICO extraction is to extract sentences from medical literature and classify them into each class.
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
The results demonstrate cluster analysis using outcome-driven multi-task neural network as promising for patient classification and subtyping.
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention.
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Precision medicine requires the precision disease risk prediction models.
