ArticlePLoS computational biology2011
Using electronic patient records to discover disease correlations and stratify patient cohorts.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 3 of them syntheses that pooled it.
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Who cites it
121 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Scope and Influence of Electronic Health Record-Integrated Clinical Decision Support in the Emergency Department: A Systematic Review.Annals of emergency medicine · 2019Pooled it
- Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Text mining applications in psychiatry: a systematic literature review.International journal of methods in psychiatric research · 2016Pooled it
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- Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997-2014).Scientific data · 2025Article
- Med-MGF: multi-level graph-based framework for handling medical data imbalance and representation.BMC medical informatics and decision making · 2024Article
- Automated detection of causal relationships among diseases and imaging findings in textual radiology reports.Journal of the American Medical Informatics Association : JAMIA · 2023Article
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- Narratives imagined in response to instrumental music reveal culture-bounded intersubjectivity.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Measuring Patient Similarity on Multiple Diseases by Joint Learning via a Convolutional Neural Network.Sensors (Basel, Switzerland) · 2021Article
- A Poisson binomial-based statistical testing framework for comorbidity discovery across electronic health record datasets.Nature computational science · 2021Article
- Heart failure clinical care analysis uncovers risk reduction opportunities for preserved ejection fraction subtype.Scientific reports · 2021Article
- Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing.BMC medical informatics and decision making · 2021Article
- Data-driven identification of complex disease phenotypes.Journal of the Royal Society, Interface · 2021Article
- Similarity-based health risk prediction using Domain Fusion and electronic health records data.Journal of biomedical informatics · 2021Article
- Linking clinotypes to phenotypes and genotypes from laboratory test results in comprehensive physical exams.BMC medical informatics and decision making · 2021Article
61 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic patient records remain a rather unexplored, but potentially rich data source for discovering correlations between diseases. We describe a general approach for gathering phenotypic descriptions of patients from medical records in a systematic and non-cohort dependent manner. By extracting phenotype information from the free-text in such records we demonstrate that we can extend the information contained in the structured record data, and use it for producing fine-grained patient stratification and disease co-occurrence statistics. The approach uses a dictionary based on the International Classification of Disease ontology and is therefore in principle language independent. As a use case we show how records from a Danish psychiatric hospital lead to the identification of disease correlations, which subsequently can be mapped to systems biology frameworks.
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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.