AIMC Journal:
Studies in health technology and informatics

Showing 911 to 920 of 1278 articles

An Ontology Approach for Knowledge Representation of ECG Data.

Studies in health technology and informatics Jan 1, 2019
The number of features that can be extracted from ECG signals has increased with the advancement in signal processing techniques. At the same time, there is an increase in research efforts to support efficient and effective analysis and interpretatio...
Biological Ontologies Electrocardiography Humans Data Analysis
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Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data.

Studies in health technology and informatics Jan 1, 2019
Information Quality (IQ) is a core tenant of contemporary data management practices. Across many disciplines and industries, it has become a necessary process to improve value and reduce liability in data driven processes. Information quality is a mu...
Machine Learning Data Analysis Electronic Health Records Humans
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Cancer Phenotype Development: A Literature Review.

Studies in health technology and informatics Jan 1, 2019
EHR-based, computable phenotypes can be leveraged by healthcare organizations and researchers to improve the cohort identification process. The ability to identify patient cohorts using aspects of care and outcomes based on clinical characteristics o...
Electronic Health Records Neoplasms Phenotype Delivery of Health Care Cohort Studies Natural Language Processing Humans
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Towards a Clinical Analytics Adoption Maturity Framework for Primary Care.

Studies in health technology and informatics Jan 1, 2019
Clinical decision support systems are evolving with growing analytics capabilities towards pervasive use of artificial intelligence. Maturity models can guide the adoption of these new technologies in clinical practice to improve patient outcomes in ...
Humans Artificial Intelligence Decision Support Systems, Clinical Canada Primary Health Care
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Data for Adherence Decision Support.

Studies in health technology and informatics Jan 1, 2019
Technological interventions aimed at addressing medication non-adherence have shown some promise but do not deliver the full potential of an Internet of Things based Adherence Decision Support (ADS) system due, in part, to a lack high-resolution defi...
Data Collection Artificial Intelligence Decision Support Techniques Pilot Projects Medication Adherence
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Linking Health Records with Knowledge Sources Using OWL and RDF.

Studies in health technology and informatics Jan 1, 2019
This paper describes a method by which the Web Ontology Language (OWL) can be used to specify a highly structured health record, following internationally recognised standards such as ISO 13606 and HL7 CDA. The structured record is coded using scheme...
Logical Observation Identifiers Names and Codes Clinical Coding Systematized Nomenclature of Medicine Semantic Web Biological Ontologies Algorithms Medical Records Systems, Computerized
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Automatic Annotation Tool to Support Supervised Machine Learning for Scaphoid Fracture Detection.

Studies in health technology and informatics Jan 1, 2018
The aim of this work is to develop and validate an automatic annotation tool for the detection and bone localization of scaphoid fractures in radiology reports. To achieve this goal, a rule-based method using a Natural Language Processing (NLP) tool ...
Supervised Machine Learning Research Report Fractures, Bone Scaphoid Bone Humans Natural Language Processing
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Development of an Automatic Coding System for Digestive Endoscopies.

Studies in health technology and informatics Jan 1, 2018
Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This task is done by the physicians, is time-consuming and requires a good knowledge of the terminology besides a medical knowledge. This method offers an aut...
Research Report Automation Natural Language Processing Endoscopy, Gastrointestinal Humans France Clinical Coding
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Harnessing Ontologies to Improve Prescription in Pediatric Medicine.

Studies in health technology and informatics Jan 1, 2018
There are many drug databases, but sometimes the data quality may result in wrong medication for patients. Results that it is very important to provide a good quality drug information, supply structured information and build useful relations between ...
Prescriptions Pediatrics Biological Ontologies Child Humans Databases, Factual
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Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Studies in health technology and informatics Jan 1, 2018
Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower the readmission rates, machine learning approaches can be used to create predictive models, with the intention to provide actionable information for c...
Humans Machine Learning Germany Forecasting Diagnosis-Related Groups ROC Curve Prognosis Patient Readmission Hospitals
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