Machine learning for medical coding in health care surveys

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

doi:10.15620/cdc:109828

i

Machine learning for medical coding in health care surveys

Public Domain

10/18/2021
By Lucas, Christine A. ; Hadley, Emily ; Nance, Jason ; ...
Series: Vital and Health Statistics Series

File Language:

English

Details

Personal Author:

Lucas, Christine A. ; Hadley, Emily ; Nance, Jason ; Baumgartner, Peter ; Thissen, Rita ; Plotner, David M. ; Carr, Christine ; Tatum, Aerian
Corporate Authors:

National Center for Health Statistics (U.S.)
Description:

This exploratory study evaluates the use of machine learning classifiers to perform automated medical coding for large statistical healthcare surveys.
Source:

Vital and health statistics. Series 2
Series:

Vital and Health Statistics Series
Document Type:

Report
Genre:

Statistics
Place as Subject:

United States
CIO:

NCHS - National Center for Health Statistics
Volume:

2
Issue:

189
Collection(s):

National Center for Health Statistics
Main Document Checksum:

urn:sha-512:5a491fbc91695e01356e015de985ebe1193d2a8f8ed819dde9920d775b6dd5bac9b2ada7e408ebd7fae4e8a5878c7a107754c36bac058943aaaa18374af51cfc
Download URL:

https://stacks.cdc.gov/view/cdc/109828/cdc_109828_DS1.pdf
File Type:

[PDF - 948.22 KB ]

File Language:

English

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