AIMC Topic: Vocabulary, Controlled

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Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Journal of biomedical informatics Jun 29, 2015
Heart disease is the leading cause of death globally and a significant part of the human population lives with it. A number of risk factors have been recognized as contributing to the disease, including obesity, coronary artery disease (CAD), hyperte...
Natural Language Processing Confidentiality Data Mining United Kingdom Computer Security Vocabulary, Controlled Diabetes Complications Semantics Pattern Recognition, Automated Incidence Cohort Studies Longitudinal Studies Narration Cardiovascular Diseases Middle Aged Risk Assessment Comorbidity Female Aged Male Humans Electronic Health Records
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The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs.

Journal of biomedical informatics Jun 26, 2015
This paper describes a supervised machine learning approach for identifying heart disease risk factors in clinical text, and assessing the impact of annotation granularity and quality on the system's ability to recognize these risk factors. We utiliz...
Male Middle Aged Risk Assessment Comorbidity Humans Electronic Health Records Female Aged Natural Language Processing Coronary Artery Disease Confidentiality Supervised Machine Learning Data Mining Incidence Cohort Studies Longitudinal Studies Narration Maryland Pattern Recognition, Automated Computer Security Vocabulary, Controlled Diabetes Complications
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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Journal of biomedical informatics Jun 26, 2015
De-identification, identifying and removing all protected health information (PHI) present in clinical data including electronic medical records (EMRs), is a critical step in making clinical data publicly available. The 2014 i2b2 (Center of Informati...
Narration Natural Language Processing Data Interpretation, Statistical Electronic Health Records Confidentiality China Computer Security Cohort Studies Vocabulary, Controlled Data Mining Pattern Recognition, Automated
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An Approach for Learning Expressive Ontologies in Medical Domain.

Journal of medical systems Jun 16, 2015
The access to medical information (journals, blogs, web-pages, dictionaries, and texts) has been increased due to availability of many digital media. In particular, finding an appropriate structure that represents the information contained in texts i...
Information Storage and Retrieval Vocabulary, Controlled Information Systems Machine Learning Algorithms Internet Knowledge Bases Humans
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Summarizing and visualizing structural changes during the evolution of biomedical ontologies using a Diff Abstraction Network.

Journal of biomedical informatics Jun 3, 2015
Biomedical ontologies are a critical component in biomedical research and practice. As an ontology evolves, its structure and content change in response to additions, deletions and updates. When editing a biomedical ontology, small local updates may ...
Software Quality Control Data Collection Sleep Biological Ontologies Vocabulary, Controlled Algorithms Technology Biomedical Research Drug Design
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Identifying synonymy between relational phrases using word embeddings.

Journal of biomedical informatics May 22, 2015
Many text mining applications in the biomedical domain benefit from automatic clustering of relational phrases into synonymous groups, since it alleviates the problem of spurious mismatches caused by the diversity of natural language expressions. Mos...
Cluster Analysis Models, Statistical Natural Language Processing Data Mining Algorithms Databases, Factual Reproducibility of Results Fuzzy Logic MEDLINE False Positive Reactions Vocabulary, Controlled Probability Markov Chains Medical Informatics Semantics
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Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Journal of biomedical informatics May 21, 2015
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm...
Longitudinal Studies Narration Natural Language Processing Coronary Artery Disease Documentation New York Pattern Recognition, Automated Confidentiality Data Mining Risk Assessment Comorbidity Incidence Cohort Studies Female Aged Male Middle Aged Computer Security Vocabulary, Controlled Diabetes Complications Boston Humans Electronic Health Records
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A concept ideation framework for medical device design.

Journal of biomedical informatics May 6, 2015
Medical device design is a challenging process, often requiring collaboration between medical and engineering domain experts. This collaboration can be best institutionalized through systematic knowledge transfer between the two domains coupled with ...
Knowledge Bases Equipment and Supplies Vocabulary, Controlled Database Management Systems Databases, Factual Computer-Aided Design User-Computer Interface Equipment Design
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Automated misspelling detection and correction in clinical free-text records.

Journal of biomedical informatics Apr 24, 2015
Accurate electronic health records are important for clinical care and research as well as ensuring patient safety. It is crucial for misspelled words to be corrected in order to ensure that medical records are interpreted correctly. This paper descr...
Quality Assurance, Health Care Vocabulary, Controlled Meaningful Use Word Processing Machine Learning Electronic Health Records Natural Language Processing Data Accuracy
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Multi-focus cluster labeling.

Journal of biomedical informatics Apr 11, 2015
Document collections resulting from searches in the biomedical literature, for instance, in PubMed, are often so large that some organization of the returned information is necessary. Clustering is an efficient tool for organizing search results. To ...
Machine Learning User-Computer Interface Natural Language Processing Data Mining Documentation MEDLINE Pattern Recognition, Automated Vocabulary, Controlled
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