Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5759521
Abstract: A large amount of patient information has been gathered in Electronic Health Records (EHRs) concerning their conditions. An EHR, as an unstructured text document, serves to maintain health by identifying, treating, and curing illnesses. In… read more here.
Keywords: medical fissure; fissure algorithm; clinical text; text data ... See more keywords
CUILESS2016: a clinical corpus applying compositional normalization of text mentions
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DOI: 10.1186/s13326-017-0173-6
Abstract: BackgroundTraditionally text mention normalization corpora have normalized concepts to single ontology identifiers (“pre-coordinated concepts”). Less frequently, normalization corpora have used concepts with multiple identifiers (“post-coordinated concepts”) but the additional identifiers have been restricted to a… read more here.
Keywords: concept; clinical text; coordinated concepts; corpus ... See more keywords
Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.
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DOI: 10.1200/cci.22.00064
Abstract: PURPOSE Predicting short-term mortality in patients with advanced cancer remains challenging. Whether digitalized clinical text can be used to build models to enhance survival prediction in this population is unclear. MATERIALS AND METHODS We conducted… read more here.
Keywords: clinical text; validation; machine learning; advanced cancer ... See more keywords
Clinical Text Mining on FHIR
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DOI: 10.3233/shti190188
Abstract: Semantic standards and human language technologies are key enablers for semantic interoperability across heterogeneous document and data collections in clinical information systems. Data provenance is awarded increasing attention, and it is especially critical where clinical… read more here.
Keywords: text; text mining; mining fhir; clinical text ... See more keywords
Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers
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DOI: 10.3233/shti190228
Abstract: Clinical text de-identification enables collaborative research while protecting patient privacy and confidentiality; however, concerns persist about the reduction in the utility of the de-identified text for information extraction and machine learning tasks. In the context… read more here.
Keywords: clinical text; learning models; learning; impact identification ... See more keywords
Negation Detection for Clinical Text Mining in Russian
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DOI: 10.3233/shti200179
Abstract: Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a… read more here.
Keywords: detection clinical; clinical text; text mining; negation detection ... See more keywords