ArticleJournal of biomedical informatics2019
Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness.
Article in Journal of biomedical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- From Sentiment to Signal: Narrative-Physiology Discordance as a Testable Target for Artificial Intelligence in Critical Care.Medical sciences (Basel, Switzerland) · 2026Article
- Clinical sentiment analysis of ICU notes: a dataset and a comparison of lexicon and clinical language model methods.BMC medical informatics and decision making · 2026Article
- Negativity and Positivity in the ICU: Exploratory Development of Automated Sentiment Capture in the Electronic Health Record.Critical care explorations · 2023Observational
- Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs.PloS one · 2023Article
- Article
- Exploring Sentiment and Care Management of Hospitalized Patients During the First Wave of the COVID-19 Pandemic Using Electronic Nursing Health Records: Descriptive Study.JMIR medical informatics · 2022Article
- "Broadcast your gender." A comparison of four text-based classification methods of German YouTube channels.Frontiers in big data · 2022Article
- Validating GAN-BioBERT: A Methodology for Assessing Reporting Trends in Clinical Trials.Frontiers in digital health · 2022Article
- Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis.JMIR medical informatics · 2021Article
- Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies.Journal of healthcare engineering · 2021Article
- Sentiment Analysis Based on the Nursing Notes on In-Hospital 28-Day Mortality of Sepsis Patients Utilizing the MIMIC-III Database.Computational and mathematical methods in medicine · 2021Article
- A Year of Papers Using Biomedical Texts: Findings from the Section on Natural Language Processing of the IMIA Yearbook.Yearbook of medical informatics · 2019Article
- The promise of open survey questions-The validation of text-based job satisfaction measures.PloS one · 2019Article
- Applications of Aspect-based Sentiment Analysis on Psychiatric Clinical Notes to Study Suicide in Youth.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational ScienceArticle
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5 authors.
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Abstract
Sentiment analysis may offer insights into patient outcomes through the subjective expressions made by clinicians in the text of encounter notes. We analyzed the predictive, concurrent, convergent, and content validity of six sentiment methods in a sample of 793,725 multidisciplinary clinical notes among 41,283 hospitalizations associated with an intensive care unit stay. None of these approaches improved early prediction of in-hospital mortality using logistic regression models, but did improve both discrimination and calibration when using random forests. Additionally, positive sentiment measured by the CoreNLP (OR 0.04, 95% CI 0.002-0.55), Pattern (OR 0.09, 95% CI 0.04-0.17), sentimentr (OR 0.37, 95% CI 0.25-0.63), and Opinion (OR 0.25, 95% CI 0.07-0.89) methods were inversely associated with death on the concurrent day after adjustment for demographic characteristics and illness severity. Median daily lexical coverage ranged from 5.4% to 20.1%. While sentiment between all methods was positively correlated, their agreement was weak. Sentiment analysis holds promise for clinical applications but will require a novel domain-specific method applicable to clinical text.
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