AIMC Journal:
Studies in health technology and informatics

Showing 931 to 940 of 1278 articles

Supporting Prescriptions with Synonym Matching of Section Names in Prospectuses.

Studies in health technology and informatics Jan 1, 2018
The field of medicine still reports errors because of insufficient knowledge or resources, work load or data not available at the right time and place, and this may be fatal for a patient. To improve the healthcare quality, a doctor needs accurate an...
Terminology as Topic Software Electronic Data Processing Semantics Humans Prescriptions Machine Learning
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Learning Healthcare Systems in Pediatrics: Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments (CADDIE).

Studies in health technology and informatics Jan 1, 2018
BACKGROUND: The vast amount of data generated in healthcare can be reused to support decision-making by developing clinical decision-support systems. Since evidence is lacking in Pediatrics, it seems to be beneficial to design future systems towards ...
Pediatrics Algorithms Data Collection Humans Intensive Care Units, Pediatric Child Critical Care Machine Learning Decision Support Systems, Clinical
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On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Studies in health technology and informatics Jan 1, 2018
Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data, hence having an opportunity to derive knowledge and associations of different attributes recorded. Many health care events can be prevented when iden...
Hospital Information Systems Delirium Documentation Prognosis Hospitalization Humans Machine Learning
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Structuring Clinical Decision Support Rules for Drug Safety Using Natural Language Processing.

Studies in health technology and informatics Jan 1, 2018
Drug safety is an important aspect in healthcare, resulting in a number of inadvertent events, which may harm the patients. IT based Clinical Decision Support (CDS), integrated in electronic-prescription or Electronic Health Records (EHR) systems, ca...
Humans Medical Errors Electronic Health Records Software Natural Language Processing Decision Support Systems, Clinical Semantics
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Clinical Data Warehouse Query and Learning Tool Using a Human-Centered Participatory Design Process.

Studies in health technology and informatics Jan 1, 2018
BMI Investigator (BMII) is an interactive web-based tool with a learning knowledge base, which provides a way for researchers to query structured, unstructured, genomic and image data contained in a data warehouse. We demonstrate how development of a...
Ergonomics Data Warehousing Learning Students Humans Internet User-Computer Interface Research Knowledge Bases
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Matching Ontologies to HL7 FHIR Towards Their Syntactic and Semantic Similarity.

Studies in health technology and informatics Jan 1, 2018
Current medical systems need to be able to communicate complex and detailed medical data securely and efficiently. However, the quantity of available healthcare data is rising rapidly, far exceeding the capacity to deliver personal or public health b...
Electronic Health Records Semantics Vocabulary, Controlled Systems Integration Biological Ontologies Humans Delivery of Health Care
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Automatic Detection of Depression by Using a Neural Network.

Studies in health technology and informatics Jan 1, 2018
Depression is the most common psychiatric disorder worldwide, which affects more than 300 million people. We aimed to detect depressed patients and healthy people automatically. We work on the PHQ-9 questionnaires and reduced it to a PHQ-5 questionna...
Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Surveys and Questionnaires Automation Depressive Disorder Psychiatric Status Rating Scales Depression
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The Role of Axiomatically-Rich Ontologies in Transforming Medical Data to Knowledge.

Studies in health technology and informatics Jan 1, 2018
In the biomedical domain, there exist a number of common data models (CDM) that have experienced wide uptake. However, none of these has emerged as the common model. Recently, the demand for integrating and analyzing increasingly large data sets in c...
Logic Knowledge Semantics Biological Ontologies
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Prediction of Nursing Workload in Hospital.

Studies in health technology and informatics Jan 1, 2018
A dissertation project at the Witten/Herdecke University [1] is investigating which (nursing sensitive) patient characteristics are suitable for predicting a higher or lower degree of nursing workload. For this research project four predictive modell...
Humans Hospitals Data Mining Support Vector Machine Logistic Models Workload Nursing Staff, Hospital
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Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.

Studies in health technology and informatics Jan 1, 2018
The study demonstrated an application of machine learning techniques in building a depression prediction model. We used the NSHAP II data (3,377 subjects and 261 variables) and built the models using a logistic regression with and without L1 regulari...
Humans Machine Learning Algorithms Depression Logistic Models Forecasting Models, Theoretical Aged
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