AIMC Journal:
Studies in health technology and informatics

Showing 1041 to 1050 of 1278 articles

Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better".

Studies in health technology and informatics Jan 1, 2017
The rise of health consumers and the accumulation of patient-generated health data (PGHD) have brought the patient to the centerstage of precision health and behavioral science. In this positional paper we outline an interpretability-aware framework ...
Patient Reported Outcome Measures Patient-Centered Care Statistics as Topic Health Services Humans
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Decision Support Systems in Health Care - Velocity of Apriori Algorithm.

Studies in health technology and informatics Jan 1, 2017
The amount of stored data in health information systems can reach tera- and petabytes and application of specific algorithms in the field of data mining makes finding useful information suitable for making quality business decisions. A frequently use...
Data Mining Algorithms Humans Expert Systems Software
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Processual Reasoning over Sequences of Situations in Endoscopic Surgery.

Studies in health technology and informatics Jan 1, 2017
Minimally invasive surgery is a highly complex and technically demanding alternative to open surgery. Surgical procedures based on this method are characterized by small incisions and allow for a fast recovery of the patient. Such techniques are chal...
Humans Decision Making Endoscopy Biological Ontologies
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Machine Learning Models of Post-Intubation Hypoxia During General Anesthesia.

Studies in health technology and informatics Jan 1, 2017
Fine-meshed perioperative measurements are offering enormous potential for automatically investigating clinical complications during general anesthesia. In this study, we employed multiple machine learning methods to model perioperative hypoxia and c...
Anesthesia, General Hypoxia Intubation Neural Networks, Computer Machine Learning Humans
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Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.

Studies in health technology and informatics Jan 1, 2017
The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed measurement technique for generating quantitative parameter maps. In MRF a non-steady state sign...
Magnetic Resonance Spectroscopy Neural Networks, Computer Models, Theoretical Magnetic Resonance Imaging Signal Processing, Computer-Assisted Pattern Recognition, Automated Machine Learning Algorithms Brain
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Light-Weighted Automatic Import of Standardized Ontologies into the Content Management System Drupal.

Studies in health technology and informatics Jan 1, 2017
The amount of ontologies, which are utilizable for widespread domains, is growing steadily. BioPortal alone, embraces over 500 published ontologies with nearly 8 million classes. In contrast, the vast informative content of these ontologies is only d...
Biological Ontologies Knowledge Programming Languages Semantics
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Expert2OWL: A Methodology for Pattern-Based Ontology Development.

Studies in health technology and informatics Jan 1, 2017
The formalization of expert knowledge enables a broad spectrum of applications employing ontologies as underlying technology. These include eLearning, Semantic Web and expert systems. However, the manual construction of such ontologies is time-consum...
Expert Systems Semantics Internet Biological Ontologies Knowledge Humans Language
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Technical Environment for Developing the SNIK Ontology of Information Management in Hospitals.

Studies in health technology and informatics Jan 1, 2017
The SNIK project converts textbooks about information management in hospitals to a domain ontology that provides a shared vocabulary for institutions to model and integrate processes, data and infrastructure. To accommodate user groups with different...
Humans Biological Ontologies Hospital Information Systems Information Management Vocabulary, Controlled
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Machine Learning Based Evaluation of Reading and Writing Difficulties.

Studies in health technology and informatics Jan 1, 2017
The possibility of auto evaluation of reading and writing difficulties was investigated using non-parametric machine learning (ML) regression technique for URAWSS (Understanding Reading and Writing Skills of Schoolchildren) [1] test data of 168 child...
Dyslexia Reading Self-Help Devices Humans Machine Learning Writing Persons with Disabilities
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Adaptive Sampling Technique Using Regression Modelling and Fuzzy Inference System for Network Traffic.

Studies in health technology and informatics Jan 1, 2017
Electronic-health relies on extensive computer networks to facilitate access and to communicate various types of information in the form of data packets. To examine the effectiveness of these networks, the traffic parameters need to be analysed. Due ...
Humans Fuzzy Logic Computer Communication Networks Algorithms Electronic Health Records
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