ArticleOnline journal of public health informatics2011
Probabilistic case detection for disease surveillance using data in electronic medical records.
Article in Online journal of public health informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Extracting information from the text of electronic medical records to improve case detection: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016Pooled it
- Advocating the potential of artificial intelligence for syndrome discovery in syndromic surveillance systems: A scoping review.iScience · 2026Review
- A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation.JMIR public health and surveillance · 2024Article
- Article
- Diversity of Mobile Genetic Elements in the Mitogenomes of Closely RelatedFrontiers in microbiology · 2020Article
- The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza.Online journal of public health informatics · 2019Article
- Automated influenza case detection for public health surveillance and clinical diagnosis using dynamic influenza prevalence method.Journal of public health (Oxford, England) · 2018Article
- A Bayesian system to detect and characterize overlapping outbreaks.Journal of biomedical informatics · 2017Article
- The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.Applied clinical informatics · 2017Article
- Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- A study of the transferability of influenza case detection systems between two large healthcare systems.PloS one · 2017Article
- Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.Journal of biomedical informatics · 2015Article
- A method for detecting and characterizing outbreaks of infectious disease from clinical reports.Journal of biomedical informatics · 2015Article
- Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
This paper describes a probabilistic case detection system (CDS) that uses a Bayesian network model of medical diagnosis and natural language processing to compute the posterior probability of influenza and influenza-like illness from emergency department dictated notes and laboratory results. The diagnostic accuracy of CDS for these conditions, as measured by the area under the ROC curve, was 0.97, and the overall accuracy for NLP employed in CDS was 0.91.
Indexed as
Identifiers
What 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.