AIMC Topic: Electronic Health Records

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[Short Text Classification of EMR Based on Entities and Dependency Parser].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Nowadays, text classification and text mining of Electronic Medical Record (EMR) have become the basis of the Big Data research in biomedical fields. This paper proposes a method using entity dictionaries and dependency parser as the feature to do th...

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...

Clinical Knowledgebase Integration of Nursing Terminology.

Studies in health technology and informatics
Medicomp Point of Care Clinical Knowledgebase, MEDCIN is designed to support integrated care documentation and the care planning functions of nurses and allied health professional. In electronic medical records (EMRs) starting with one or more clinic...

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...

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 ...

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...

Natural Language Processing Technologies in Radiology Research and Clinical Applications.

Radiographics : a review publication of the Radiological Society of North America, Inc
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, ther...