Machine Learning for Medical Coding in Healthcare Surveys

Lucas, Christine, A.; Hadley, Emily; Chew, Robert; 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 Healthcare Surveys

Public Domain

10/01/2021
By Lucas, Christine, A. ; Hadley, Emily ; Chew, Robert ; ...
Series: NCHS Vital and Health Statistics Series

File Language:

English

Details

Personal Author:

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

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

Public health report evaluating the use of machine learning classifiers to perform automated medical coding for large statistical healthcare surveys.
Subjects:

Data Collection Health Surveys Vital Statistics
Keywords:

clinical coding, ICD–10–CM, health surveys, natural language processing, National Hospital Ambulatory Medical Care Survey
Source:

National Hospital Ambulatory Medical Care Survey
Series:

NCHS Vital and Health Statistics Series
Document Type:

Text
Genre:

Report ; Statistics
Place as Subject:

United States
Pages in Document:

29 Pages
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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Details

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