AIMC Topic: Natural Language Processing

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Extracting Sexual Trauma Mentions from Electronic Medical Notes Using Natural Language Processing.

Studies in health technology and informatics
Patient history of sexual trauma is of clinical relevance to healthcare providers as survivors face adverse health-related outcomes. This paper describes a method for identifying mentions of sexual trauma within the free text of electronic medical no...

Translational Morphosyntax: Distribution of Negation in Clinical Records and Biomedical Journal Articles.

Studies in health technology and informatics
Prior knowledge of the distributional characteristics of linguistic phenomena can be useful for a variety of language processing tasks. This paper describes the distribution of negation in two types of biomedical texts: scientific journal articles an...

Inter-Annotator Agreement and the Upper Limit on Machine Performance: Evidence from Biomedical Natural Language Processing.

Studies in health technology and informatics
Human-annotated data is a fundamental part of natural language processing system development and evaluation. The quality of that data is typically assessed by calculating the agreement between the annotators. It is widely assumed that this agreement ...

Semi-Automatic Mark-Up and UMLS Annotation of Clinical Guidelines.

Studies in health technology and informatics
Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization in the healthcare domain. To derive clinical pathways from clinical guidelines, the imprecise, non-formalized abstract guidel...

MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical Texts.

Studies in health technology and informatics
Because of recent replacement of physical documents with electronic medical records (EMR), the importance of information processing in the medical field has increased. In light of this trend, we have been developing MedEx/J, which retrieves important...

Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.

Radiographics : a review publication of the Radiological Society of North America, Inc
A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictated. Traditional methods, such as keeping medical record number follow-up lists, discussing cases with...

Non-Visually Performing Analytical Tasks on Statistical Charts.

Studies in health technology and informatics
This article proposes a natural language-based approach to accessibility of charts. Formal underpinnings are used to semantically annotate the constituent elements of a vector graphic to support accessing and modifying the content by natural language...

Comparison of Grouping Methods for Template Extraction from VA Medical Record Text.

Studies in health technology and informatics
We investigate options for grouping templates for the purpose of template identification and extraction from electronic medical records. We sampled a corpus of 1000 documents originating from Veterans Health Administration (VA) electronic medical rec...

Exploring convolutional neural networks for drug-drug interaction extraction.

Database : the journal of biological databases and curation
Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of redu...

Semantic Technologies for Re-Use of Clinical Routine Data.

Studies in health technology and informatics
Routine patient data in electronic patient records are only partly structured, and an even smaller segment is coded, mainly for administrative purposes. Large parts are only available as free text. Transforming this content into a structured and sema...