AIMC Topic: Natural Language Processing

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Converting Text to Structured Models of Healthcare Services.

Studies in health technology and informatics
The paper presents a concise method for transforming textual representations of healthcare services, to a structured, semantically unambiguous modelling language. The method is designed based on literature, as well as trial and error by the authors, ...

Finding 'Evidence of Absence' in Medical Notes: Using NLP for Clinical Inferencing.

Studies in health technology and informatics
Extracting evidence of the absence of a target of interest from medical text can be useful in clinical inferencing. The purpose of our study was to develop a natural language processing (NLP) pipelineto identify the presence of indwelling urinary cat...

Defining a Patient Population With Cirrhosis: An Automated Algorithm With Natural Language Processing.

Journal of clinical gastroenterology
OBJECTIVES: The objective of this study was to use natural language processing (NLP) as a supplement to International Classification of Diseases, Ninth Revision (ICD-9) and laboratory values in an automated algorithm to better define and risk-stratif...

Identifying Outliers in Data from Patient Record.

Studies in health technology and informatics
It is important for health services to be able to identify potential outliers with minimal effort as part of their daily evaluation of care data from patient record. This study evaluates the suitability of three statistical methods for identifying nu...

Automatic Analysis of Critical Incident Reports: Requirements and Use Cases.

Studies in health technology and informatics
Increasingly, critical incident reports are used as a means to increase patient safety and quality of care. The entire potential of these sources of experiential knowledge remains often unconsidered since retrieval and analysis is difficult and time-...

Extraction of UMLS® Concepts Using Apache cTAKES™ for German Language.

Studies in health technology and informatics
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...

Automated Transformation of openEHR Data Instances to OWL.

Studies in health technology and informatics
Standard-based integration and semantic enrichment of clinical data originating from electronic medical records has shown to be critical to enable secondary use. To facilitate the utilization of semantic technologies on clinical data, we introduce a ...

Implementation of a Decision Support System for Interpretation of Laboratory Tests for Patients.

Studies in health technology and informatics
The paper presents the results of the development and implementation of an expert system that automatically generates doctors' letters based on the results of laboratory tests. Medical knowledge is expressed using a first order predictate logic based...

Ontological Foundations for Tracking Data Quality through the Internet of Things.

Studies in health technology and informatics
Amongst the positive outcomes expected from the Internet of Things for Health are longitudinal patient records that are more complete and less erroneous by complementing manual data entry with automatic data feeds from sensors. Unfortunately, devices...