Work

Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness

Year: 2018

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2018.12.001

Authors: Gary E. Weissman, Lyle H. Ungar, Michael O. Harhay, Katherine R. Courtright, Scott D. Halpern

Institutions: Leonard Davis Institute of Health Economics, University of Pennsylvania

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute

Awards: Using natural language processing and machine learning to identify potentially preventable hospital admissions among outpatients with chronic lung diseases, G3404626013, Improving the measurement and analysis of long-term, patient-centered outcomes following acute respiratory failure, G9000022246, G9000202258

OpenAlex ID: W2951045446

FWCI: 2.093

Cites: 50

Cited by: 42

Related to: 10