ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
Automatic computation of CHA2DS2-VASc score: information extraction from clinical texts for thromboembolism risk assessment.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Factors predicting the recurrence of atrial fibrillation after catheter ablation: A review.Heliyon · 2024Review
- Automated Pulmonary Embolism Risk Assessment Using the Wells Criteria: Validation Study.JMIR formative research · 2022Article
- Building a Precision Medicine Delivery Platform for Clinics: The University of California, San Francisco, BRIDGE Experience.Journal of medical Internet research · 2022Article
- Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data.PloS one · 2019Article
- Automated Pulmonary Embolism Risk Classification and Guideline Adherence for Computed Tomography Pulmonary Angiography Ordering.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2018Article
- Clinical Natural Language Processing in languages other than English: opportunities and challenges.Journal of biomedical semantics · 2018Review
- Development of a decision support system for the practice of responsible self-medication.International journal of clinical pharmacy · 2016Article
- Article
- Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings.BMC bioinformatics · 2014Article
- Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Matching health information seekers' queries to medical terms.BMC bioinformatics · 2012Article
- Automatic computation of CHA2DS2-VASc score: information extraction from clinical texts for thromboembolism risk assessment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The CHA2DS2-VASc score is a 10-point scale which allows cardiologists to easily identify potential stroke risk for patients with non-valvular fibrillation. In this article, we present a system based on natural language processing (lexicon and linguistic modules), including negation and speculation handling, which extracts medical concepts from French clinical records and uses them as criteria to compute the CHA2DS2-VASc score. We evaluate this system by comparing its computed criteria with those obtained by human reading of the same clinical texts, and by assessing the impact of the observed differences on the resulting CHA2DS2-VASc scores. Given 21 patient records, 168 instances of criteria were computed, with an accuracy of 97.6%, and the accuracy of the 21 CHA2DS2-VASc scores was 85.7%. All differences in scores trigger the same alert, which means that system performance on this test set yields similar results to human reading of the texts.
Indexed as
Identifiers
22195104PMC3243195W1558038971What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.