Wen Tang

Latest

• Protocol to Process Follow-up Electronic Medical Records of Peritoneal Dialysis Patients to Train AI Models
• EHRFlow: A Large Language Model-Driven Iterative Multi-Agent Electronic Health Record Data Analysis Workflow
• RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval
• A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
• Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients
• A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
• CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
• StageNet: Stage-Aware Neural Networks for Health Risk Prediction
• AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
• ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
• CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare
• Applications of Recurrent Neural Network in Clinical Prognosis Prediction of Peritoneal Dialysis
• Multi-sensor integrated food volume measurement based on smartphone