Machine Learning for Medical Coding in Healthcare Surveys.

Q3 Medicine

Vital and health statistics. Ser. 1: Programs and collection procedures Pub Date : 2021-10-01

Christine A Lucas, Emily Hadley, Robert Chew, Jason Nance, Peter Baumgartner, Rita Thissen, David M Plotner, Christine Carr, Aerian Tatum

引用次数: 0

Abstract

Objectives Medical coding, or the translation of healthcare information into numeric codes, is expensive and time intensive. This exploratory study evaluates the use of machine learning classifiers to perform automated medical coding for large statistical healthcare surveys.

本刊更多论文

医疗保健调查中医疗编码的机器学习。

医学编码，或将医疗保健信息转换为数字代码，既昂贵又耗时。本探索性研究评估了机器学习分类器在大型统计医疗调查中执行自动医疗编码的使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Vital and health statistics. Ser. 1: Programs and collection procedures Medicine-Medicine (all)

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： Reports describing the general programs of the National Center for Health Statistics and its offices and divisions and the data collection methods used. Series 1 reports also include definitions and other material necessary for understanding the data.