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 DOI:10.15620/cdc:109828

Christine A Lucas, Emily C Hadley, Robert F. Chew, Jason Nance, Peter Baumgartner, Rita Thissen, D. Plotner, Christine Carr, Aerian Tatum

引用次数: 2

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.

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医疗保健调查中医疗编码的机器学习。

目的医疗编码，或将医疗信息翻译成数字代码，成本高昂且耗时。这项探索性研究评估了使用机器学习分类器为大型统计医疗调查执行自动医疗编码的情况。

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.