Multitask Balanced and Recalibrated Network for Medical Code Prediction
Multitask Balanced and Recalibrated Network for Medical Code Prediction
Human coders assign standardized medical codes to clinical documents generated during patients' hospitalization, which is error-prone and labor-intensive. Automated medical coding approaches have been developed using machine learning methods such as deep neural networks. Nevertheless, automated medical coding is still challenging because of the imbalanced class problem, complex code association, …