AIMC Topic: Information Storage and Retrieval
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Linked Data Applications Through Ontology Based Data Access in Clinical Research.
Studies in health technology and informatics
Jan 1, 2017
Clinical care and research data are widely dispersed in isolated systems based on heterogeneous data models. Biomedicine predominantly makes use of connected datasets based on the Semantic Web paradigm. Initiatives like Bio2RDF created Resource Descr...
Evaluation of the Terminology Coverage in the French Corpus LiSSa.
Studies in health technology and informatics
Jan 1, 2017
Extracting concepts from medical texts is a key to support many advanced applications in medical information retrieval. Entity recognition in French texts is moreover challenged by the availability of many resources originally developed for English t...
Text Mining to Support Gene Ontology Curation and Vice Versa.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
In this chapter, we explain how text mining can support the curation of molecular biology databases dealing with protein functions. We also show how curated data can play a disruptive role in the developments of text mining methods. We review a decad...
Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health.
The Journal of infectious diseases
Dec 1, 2016
The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources hav...
Multi-view non-negative tensor factorization as relation learning in healthcare data.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Discovering patterns in co-occurrences data between objects and groups of concepts is a useful task in many domains, such as healthcare data analysis, information retrieval, and recommender systems. These relational representations come from objects'...
Natural Language Processing in Radiology: A Systematic Review.
Radiology
May 1, 2016
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology reports are st...
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy.
Journal of digital imaging
Feb 1, 2016
Content-based medical image retrieval (CBMIR) is a powerful resource to improve differential computer-aided diagnosis. The major problem with CBMIR applications is the semantic gap, a situation in which the system does not follow the users' sense of ...
Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing.
Medical care
Feb 1, 2016
BACKGROUND: Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC International Classification of Diseases, 9th Revision (ICD-...
International Classification of Diseases
United States Department of Veterans Affairs
Natural Language Processing
Information Storage and Retrieval
United States
Socioeconomic Factors
Aged
Sensitivity and Specificity
Middle Aged
Liver Neoplasms
Male
Databases, Factual
Electronic Health Records
Humans
Female
Algorithms
Probability Statements Extraction with Constrained Conditional Random Fields.
Studies in health technology and informatics
Jan 1, 2016
This paper investigates how to extract probability statements from academic medical papers. In previous work we have explored traditional classification methods which led to numerous false negatives. This current work focuses on constraining classifi...
Extraction of UMLS® Concepts Using Apache cTAKES™ for German Language.
Studies in health technology and informatics
Jan 1, 2016
Automatic information extraction of medical concepts and classification with semantic standards from medical reports is useful for standardization and for clinical research. This paper presents an approach for an UMLS concept extraction with a custom...
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