Medical Code Assignment with Gated Convolution and Note-Code Interaction

10/14/2020
by   Shaoxiong Ji, et al.
12

Medical code assignment from clinical text is a fundamental task in clinical information system management. As medical notes are typically lengthy and the medical coding system's code space is large, this task is a long-standing challenge. Recent work applies deep neural network models to encode the medical notes and assign medical codes to clinical documents. However, these methods are still ineffective as they do not fully encode and capture the lengthy and rich semantic information of medical notes nor explicitly exploit the interactions between the notes and codes. We propose a novel method, gated convolutional neural networks, and a note-code interaction (GatedCNN-NCI), for automatic medical code assignment to overcome these challenges. Our methods capture the rich semantic information of the lengthy clinical text for better representation by utilizing embedding injection and gated information propagation in the medical note encoding module. With a novel note-code interaction design and a graph message passing mechanism, we explicitly capture the underlying dependency between notes and codes, enabling effective code prediction. A weight sharing scheme is further designed to decrease the number of trainable parameters. Empirical experiments on real-world clinical datasets show that our proposed model outperforms state-of-the-art models in most cases, and our model size is on par with light-weighted baselines.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/30/2020

Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text

Medical code assignment, which predicts medical codes from clinical text...
research
05/09/2023

Effective Medical Code Prediction via Label Internal Alignment

The clinical notes are usually typed into the system by physicians. They...
research
09/06/2021

Multi-task Balanced and Recalibrated Network for Medical Code Prediction

Human coders assign standardized medical codes to clinical documents gen...
research
10/30/2022

Medical Codes Prediction from Clinical Notes: From Human Coders to Machines

Prediction of medical codes from clinical notes is a practical and essen...
research
02/15/2018

Explainable Prediction of Medical Codes from Clinical Text

Clinical notes are text documents that are created by clinicians for eac...
research
07/10/2021

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

Prediction of medical codes from clinical notes is both a practical and ...
research
03/11/2021

Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study

Unsupervised pretraining is an integral part of many natural language pr...

Please sign up or login with your details

Forgot password? Click here to reset