AIMC Journal:
Studies in health technology and informatics

Showing 861 to 870 of 1278 articles

An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.

Studies in health technology and informatics Aug 21, 2019
Prescription information and adverse drug reactions (ADR) are two components of detailed medication instructions that can benefit many aspects of clinical research. Automatic extraction of this information from free-text narratives via Information Ex...
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Knowledge Bases Information Storage and Retrieval Semantics Drug Prescriptions
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Validating Auto-Suggested Changes for SNOMED CT in Non-Lattice Subgraphs Using Relational Machine Learning.

Studies in health technology and informatics Aug 21, 2019
An attractive feature of non-lattice-based ontology auditing methods is its ability to not only identify potential quality issues, but also automatically generate the corresponding fixes. However, exhaustive manual evaluation of the validity of sugge...
Neural Networks, Computer Machine Learning Systematized Nomenclature of Medicine
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Improving the Prescription Process Information Support with Structured Medical Prospectuses Using Neural Networks.

Studies in health technology and informatics Aug 21, 2019
To provide the best treatment, a physician needs information about both the patient and the medicines matching the patient status and improving it. In this article, we present three methods for structuring the sections of medical prospectuses using n...
Neural Networks, Computer Algorithms Prescriptions
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Semantic Provenance Graph for Reproducibility of Biomedical Research Studies: Generating and Analyzing Graph Structures from Published Literature.

Studies in health technology and informatics Aug 21, 2019
OBJECTIVE: To characterize the scientific reproducibility of biomedical research studies by query and analysis of semantic provenance graphs generated from provenance metadata terms extracted from PubMed articles.
Reproducibility of Results Biomedical Research Metadata Semantics Biological Ontologies
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IDOMEN: An Extension of Infectious Disease Ontology for MENingitis.

Studies in health technology and informatics Aug 21, 2019
In sub-Saharan African countries the prevention and control of epidemic diseases requires the improvement of the surveillance system for these diseases. Biomedical ontologies are a growing field that can improve health information systems. Indeed bio...
Humans Africa Meningitis Semantics Biological Ontologies
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Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.

Studies in health technology and informatics Aug 21, 2019
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 learnin...
Humans Machine Learning Electronic Health Records Deep Learning Confidentiality Data Anonymization
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Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation.

Studies in health technology and informatics Aug 21, 2019
Although a number of foundational natural language processing (NLP) tasks like text segmentation are considered a simple problem in the general English domain dominated by well-formed text, complexities of clinical documentation lead to poor performa...
Neural Networks, Computer Language Natural Language Processing Documentation
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Pretraining to Recognize PICO Elements from Randomized Controlled Trial Literature.

Studies in health technology and informatics Aug 21, 2019
PICO (Population/problem, Intervention, Comparison, and Outcome) is widely adopted for formulating clinical questions to retrieve evidence from the literature. It plays a crucial role in Evidence-Based Medicine (EBM). This paper contributes a scalabl...
Neural Networks, Computer Randomized Controlled Trials as Topic PubMed Evidence-Based Medicine
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Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.

Studies in health technology and informatics Aug 21, 2019
Frequent utilization of the Intensive Care Unit (ICU) is associated with higher costs and decreased availability for patients who urgently need it. Common risk assessment tool, like the ASA score, lack objectivity and do account only for some influen...
Humans Machine Learning Prospective Studies Intensive Care Units Hospitalization
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Interactive Machine Learning for Laboratory Data Integration.

Studies in health technology and informatics Aug 21, 2019
Laboratory data collected in the electronic health record as part of routine care can be used in secondary research. For example, the US Department of Veterans Affairs maintains a data warehouse covering over 20 million individuals and 6.6 billion la...
Humans Machine Learning Databases, Factual Electronic Health Records Workflow Simulation Training
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