ArticleBMC bioinformatics2009
Characterizing environmental and phenotypic associations using information theory and electronic health records.
Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Discovering cellular programs of intrinsic and extrinsic drivers of metabolic traits using LipocyteProfiler.Cell genomics · 2023Article
- Clinical information extraction applications: A literature review.Journal of biomedical informatics · 2018Review
- Review
- Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules.Journal of biomedical informatics · 2017Article
- Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records.Journal of healthcare engineering · 2017Article
- Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context.Journal of healthcare engineering · 2017Article
- Mutual Information between Discrete Variables with Many Categories using Recursive Adaptive Partitioning.Scientific reports · 2015Article
- Medication-wide association studies.CPT: pharmacometrics & systems pharmacology · 2013Article
- Discovering disease associations by integrating electronic clinical data and medical literature.PloS one · 2011Article
- Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.BMC medical informatics and decision making · 2010Article
- Signs of the 2009 influenza pandemic in the New York-Presbyterian Hospital electronic health records.PloS one · 2010Article
- Selecting information in electronic health records for knowledge acquisition.Journal of biomedical informatics · 2010Article
- Selected proceedings of the 2009 Summit on Translational Bioinformatics.BMC bioinformatics · 2009Article
- Natural language processing: an introduction.Journal of the American Medical Informatics Association : JAMIAReview
- A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health records.Journal of the American Medical Informatics Association : JAMIAArticle
- Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundThe availability of up-to-date, executable, evidence-based medical knowledge is essential for many clinical applications, such as pharmacovigilance, but executable knowledge is costly to obtain and update. Automated acquisition of environmental and phenotypic associations in biomedical and clinical documents using text mining has showed some success. The usefulness of the association knowledge is limited, however, due to the fact that the specific relationships between clinical entities remain unknown. In particular, some associations are indirect relations due to interdependencies among the data.
resultsIn this work, we develop methods using mutual information (MI) and its property, the data processing inequality (DPI), to help characterize associations that were generated based on use of natural language processing to encode clinical information in narrative patient records followed by statistical methods. Evaluation based on a random sample consisting of two drugs and two diseases indicates an overall precision of 81%.
conclusionThis preliminary study demonstrates that the proposed method is effective for helping to characterize phenotypic and environmental associations obtained from clinical reports.
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