Effective Medical Code Prediction via Label Internal Alignment

05/09/2023
by   Guodong Liu, et al.
0

The clinical notes are usually typed into the system by physicians. They are typically required to be marked by standard medical codes, and each code represents a diagnosis or medical treatment procedure. Annotating these notes is time consuming and prone to error. In this paper, we proposed a multi-view attention based Neural network to predict medical codes from clinical texts. Our method incorporates three aspects of information, the semantic context of the clinical text, the relationship among the label (medical codes) space, and the alignment between each pair of a clinical text and medical code. Our method is verified to be effective on the open source dataset. The experimental result shows that our method achieves better performance against the prior state-of-art on multiple metrics.

READ FULL TEXT

page 1

page 2

page 3

page 4

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
07/14/2022

GrabQC: Graph based Query Contextualization for automated ICD coding

Automated medical coding is a process of codifying clinical notes to app...
research
10/14/2020

Medical Code Assignment with Gated Convolution and Note-Code Interaction

Medical code assignment from clinical text is a fundamental task in clin...
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
05/19/2023

Clinical Camel: An Open-Source Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding

Large Language Models (LLMs) present immense potential in the medical fi...
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...
research
06/24/2019

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels

This work tackles the problem of generating a medical report for multi-i...

Please sign up or login with your details

Forgot password? Click here to reset