Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach
Background The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constructed a machine learning-based natu...
Main Authors: | Wagholikar, Kavishwar B, McCray, Alexa T, Chueh, Henry C, Wagholikar, Kavishwar B., McCray, Alexa T., Chueh, Henry C., Weng, Wei-Hung, Szolovits, Peter |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
BioMed Central
2018
|
Online Access: | http://hdl.handle.net/1721.1/114596 https://orcid.org/0000-0003-2232-0390 https://orcid.org/0000-0001-8411-6403 |
Similar Items
-
Identifying gender-preferred communication styles within online cancer communities: a retrospective, longitudinal analysis.
by: Kathleen T Durant, et al.
Published: (2012-01-01) -
Nursing and multi-professional practice /
by: McCray, Janet
Published: (2009) -
Moving target /
by: 263627 McCray, Cheyenne
Published: (2008) -
Calcium Silicate Recommendations for Sugarcane on Florida Mineral Soils
by: J. Mabry McCray
Published: (2022-08-01) -
Potassium Fertilizer Recommendations for Sugarcane on Florida Mineral Soils
by: J. Mabry McCray
Published: (2022-09-01)