ArticleJournal of the American Medical Informatics Association : JAMIA
Evaluation of a generalizable approach to clinical information retrieval using the automated retrieval console (ARC).
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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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.
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Who cites it
31 citing papers in PubMed.
- Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research.Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting · 2021Article
- Automated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast Cancer.JCO clinical cancer informatics · 2021Article
- Review
- Test collections for electronic health record-based clinical information retrieval.JAMIA open · 2019Article
- Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Applied clinical informatics · 2017Article
- Institutional variation in surgical care for early-stage breast cancer at community hospitals.The Journal of surgical research · 2017Article
- Extracting Healthcare Quality Information from Unstructured Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing.Medical care · 2016Article
- Automated Cancer Registry Notifications: Validation of a Medical Text Analytics System for Identifying Patients with Cancer from a State-Wide Pathology Repository.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- A systematic approach for using DICOM structured reports in clinical processes: focus on breast cancer.Journal of digital imaging · 2015Review
- Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Article
- Recent trends in biomedical informatics: a study based on JAMIA articles.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Automated identification of surveillance colonoscopy in inflammatory bowel disease using natural language processing.Digestive diseases and sciences · 2013Article
- Classification of cancer-related death certificates using machine learning.The Australasian medical journal · 2013Article
- Using natural language processing on the free text of clinical documents to screen for evidence of homelessness among US veterans.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- Using the electronic medical record to identify community-acquired pneumonia: toward a replicable automated strategy.PloS one · 2013Article
- Clinical research informatics: a conceptual perspective.Journal of the American Medical Informatics Association : JAMIA · 2012Article
- Automated classification of psychotherapy note text: implications for quality assessment in PTSD care.Journal of evaluation in clinical practice · 2012Article
- Retrieval of radiology reports citing critical findings with disease-specific customization.The open medical informatics journal · 2012Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Reducing custom software development effort is an important goal in information retrieval (IR). This study evaluated a generalizable approach involving with no custom software or rules development. The study used documents "consistent with cancer" to evaluate system performance in the domains of colorectal (CRC), prostate (PC), and lung (LC) cancer. Using an end-user-supplied reference set, the automated retrieval console (ARC) iteratively calculated performance of combinations of natural language processing-derived features and supervised classification algorithms. Training and testing involved 10-fold cross-validation for three sets of 500 documents each. Performance metrics included recall, precision, and F-measure. Annotation time for five physicians was also measured. Top performing algorithms had recall, precision, and F-measure values as follows: for CRC, 0.90, 0.92, and 0.89, respectively; for PC, 0.97, 0.95, and 0.94; and for LC, 0.76, 0.80, and 0.75. In all but one case, conditional random fields outperformed maximum entropy-based classifiers. Algorithms had good performance without custom code or rules development, but performance varied by specific application.
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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.