EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records

EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records

Information Science, Computer Science, Artificial Intelligence,
Electronic Health Records   Heterogeneous Graph Convolutional Networks   Text Classification   Natural Language Processing   Deep Learning  

EHR-HGCN: A Novel Hybrid Heterogeneous Graph Convolutional Network Method for Electronic Health Record Text Classification Academic Background With the rapid development of Natural Language Processing (NLP), text classification has become an important research direction in this field. Text classification not only helps us understand the knowledge b...

Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science,
Stage-Aware   Hierarchical Attention   Diagnosis Prediction   Electronic Health Records   Knowledge Graphs   Relational Graph Neural Networks  

Application of Hierarchical Attentive Relational Network in Diagnostic Prediction In recent years, Electronic Health Records (EHR) have become extremely valuable in improving medical decision-making, online disease detection, and monitoring. At the same time, deep learning methods have also achieved great success in utilizing EHR for health risk pr...

Electronic Health Record Signatures Identify Undiagnosed Patients with Common Variable Immunodeficiency Disease

Electronic Health Record Signatures Identify Undiagnosed Patients with Common Variable Immunodeficiency Disease

Medicine, Rheumatology and Immunology, Environmental and Public Health,
Common Variable Immunodeficiency   Electronic Health Records   Machine Learning Algorithm   Immune System   Disease Diagnosis   Artificial Intelligence   Phenotype  

Utilizing Electronic Health Record Features to Identify Undiagnosed Patients with Common Subtype of Immunodeficiency Recently, Johnson and colleagues published a study titled “Electronic health record signatures identify undiagnosed patients with common variable immunodeficiency disease” in Science Translational Medicine. This research utilizes ele...