ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016
Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review.Journal of the American Geriatrics Society · 2026Article
- Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study.JMIR aging · 2024Article
- Artificial Intelligence (AI)-Driven Frailty Prediction Using Electronic Health Records in Hospitalized Patients With Cardiovascular Disease.Circulation reports · 2024Article
- Unleashing frailty from laboratory into real world: A critical step toward frailty-guided clinical care of older adults.Journal of the American Geriatrics Society · 2024Article
- Assessing the Benefits and Harms of Pharmacotherapy in Older Adults with Frailty: Insights from Pharmacoepidemiologic Studies of Routine Health Care Data.Drugs & aging · 2024Review
- Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol.BMJ open · 2023Article
- Identifying Probable Dementia in Undiagnosed Black and White Americans Using Machine Learning in Veterans Health Administration Electronic Health Records.Big data and cognitive computing · 2023Article
- Scalable Feature Engineering from Electronic Free Text Notes to Supplement Confounding Adjustment of Claims-Based Pharmacoepidemiologic Studies.Clinical pharmacology and therapeutics · 2023Article
- Using electronic consultation (eConsult) to identify frailty in provider-to-provider communication: a feasibility and validation study.BMC geriatrics · 2023Review
- A roadmap to reduce information inequities in disability with digital health and natural language processing.PLOS digital health · 2022Review
- A simple neural vector space model for medical concept normalization using concept embeddings.Journal of biomedical informatics · 2022Article
- Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health.Frontiers in digital health · 2021Article
- Topic modeling to characterize the natural history of ANCA-Associated vasculitis from clinical notes: A proof of concept study.Seminars in arthritis and rheumatism · 2021Article
- Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study.JMIR mHealth and uHealth · 2020Article
- Predicting non-elective hospital readmission or death using a composite assessment of cognitive and physical frailty in elderly inpatients with cardiovascular disease.BMC geriatrics · 2020Article
- Measuring Frailty in Health Care Databases for Clinical Care and Research.Annals of geriatric medicine and research · 2020Review
- Broadening horizons: the case for capturing function and the role of health informatics in its use.BMC public health · 2019Article
- Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event.Applied clinical informatics · 2019Article
- Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records.BMC medical informatics and decision making · 2019Article
- Development of a cardiac-centered frailty ontology.Journal of biomedical semantics · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frailty is an important health outcomes indicator and valuable for guiding healthcare decisions in older adults, but is rarely collected in a quantitative, systematic fashion in routine healthcare. Using a cohort of 12,000 Veterans with heart failure, we investigated the feasibility of topic modeling to identify frailty topics in clinical notes. Topics were generated through unsupervised learning and then manually reviewed by an expert. A total of 53 frailty topics were identified from 100,000 notes. We further examined associations of frailty with age-, sex-, and Charlson Comorbidity Index-adjusted 1-year hospitalizations and mortality (composite outcome) using logistic regression. Frailty (≤ 4 topics versus <4) was associated with twice the risk of the composite outcome, Odds Ratio: 2.2, 95% Confidence Interval: (2.0-2.4). This study demonstrates the feasibility of identifying frailty indicators from clinical notes and linking these to clinically relevant outcomes. Future work includes integrating frailty indicators into validated predictive tools.
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Registered trials
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