ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008
Optimizing A syndromic surveillance text classifier for influenza-like illness: Does document source matter?
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Syndromic surveillance for influenza in the emergency department-A systematic review.PloS one · 2013Pooled it
- Emergency nurses' triage narrative data, their uses and structure: a scoping review protocol.BMJ open · 2022Article
- Development and validation of an automated emergency department-based syndromic surveillance system to enhance public health surveillance in Yukon: a lower-resourced and remote setting.BMC public health · 2021Article
- Outbreak of Severe Vomiting in Dogs Associated with a Canine Enteric Coronavirus, United Kingdom.Emerging infectious diseases · 2021Article
- SCM: a practical tool to implement hospital-based syndromic surveillance.BMC research notes · 2016Article
- Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.BMC medical informatics and decision making · 2015Article
- Epidemic surveillance using an electronic medical record: an empiric approach to performance improvement.PloS one · 2014Article
- Validating a strategy for psychosocial phenotyping using a large corpus of clinical text.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Patient, physician, encounter, and billing characteristics predict the accuracy of syndromic surveillance case definitions.BMC public health · 2012Article
- Real-time prescription surveillance and its application to monitoring seasonal influenza activity in Japan.Journal of medical Internet research · 2012Article
- Evaluation of natural language processing from emergency department computerized medical records for intra-hospital syndromic surveillance.BMC medical informatics and decision making · 2011Article
- Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center.Emerging health threats journal · 2011Article
- Effectiveness of lexico-syntactic pattern matching for ontology enrichment with clinical documents.Methods of information in medicine · 2011Article
- Analysis of False Positive Errors of an Acute Respiratory Infection Text Classifier due to Contextual Features.Summit on translational bioinformatics · 2010Article
- ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports.Journal of biomedical informatics · 2009Article
- Validation of a Syndromic Case Definition for Detecting Emergency Department Visits Potentially Related to Marijuana.Public health reports (Washington, D.C. : 1974)Article
- Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text.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
Syndromic surveillance systems that incorporate electronic free-text data have primarily focused on extracting concepts of interest from chief complaint text, emergency department visit notes, and nurse triage notes. Due to availability and access, there has been limited work in the area of surveilling the full text of all electronic note documents compared with more specific document sources. This study provides an evaluation of the performance of a text classifier for detection of influenza-like illness (ILI) by document sources that are commonly used for biosurveillance by comparing them to routine visit notes, and a full electronic note corpus approach. Evaluating the performance of an automated text classifier for syndromic surveillance by source document will inform decisions regarding electronic textual data sources for potential use by automated biosurveillance systems. Even when a full electronic medical record is available, commonly available surveillance source documents provide acceptable statistical performance for automated ILI surveillance.
Indexed as
Identifiers
18999051PMC2655960What 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.