ArticleJAMIA open2019
Disease correlation network: a computational package for identifying temporal correlations between disease states from Large-Scale longitudinal medical records.
Article in JAMIA open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Automatic Classification of Thyroid Findings Using Static and Contextualized Ensemble Natural Language Processing Systems: Development Study.JMIR medical informatics · 2021Article
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9 authors.
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Abstract
objectiveTo provide an open-source software package for determining temporal correlations between disease states using longitudinal electronic medical records (EMR). MATERIALS AND
methodsWe have developed an
resultsWe have applied this package to a longitudinal dataset at Loyola University Chicago Medical Center with 654 084 distinct initial diagnoses of 51 conditions in 175 539 patients. Over 90% of disease correlations identified are supported by literature review. DCN is available for download at https://github.com/qunfengdong/DCN.
conclusionsDCN allows screening of EMR data to identify potential relationships between chronic disease states. This data may then be used to formulate novel research hypotheses for further characterization of these relationships.
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