Artikler, rapporter og annet (informatikk): Nye registreringer
Viser treff 281-300 av 415
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Interdisciplinary optimism? Sentiment analysis of Twitter data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-07-31)Interdisciplinary research has faced many challenges, including institutional, cultural and practical ones, while it has also been reported as a ‘career risk’ and even ‘career suicide’ for researchers pursuing such an education and approach. Yet, the propagation of challenges and risks can easily lead to a feeling of anxiety and disempowerment in researchers, which we think is counterproductive to ... -
Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-08-16)<i>Background</i>: Accelerometers, often in conjunction with heart rate sensors, are extensively used to track physical activity (PA) in research. Research-grade instruments are often expensive and have limited battery capacity, limited storage, and high participant burden. Consumer-based activity trackers are equipped with similar technology and designed for long-term wear, and can therefore ... -
App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018)<p><i>Background</i>: Research in type 1 diabetes management has increased exponentially since the irruption of mobile health apps for its remote and self-management. Despite this fact, the features affect in the disease management and patient empowerment are adopted by app makers and provided to the general population remain unexplored.</p> <p><i>Objective</i>: To study the gap between literature ... -
META-pipe cloud setup and execution
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-01-18)META-pipe is a complete service for the analysis of marine metagenomic data. It provides assembly of high-throughput sequence data, functional annotation of predicted genes, and taxonomic profiling. The functional annotation is computationally demanding and is therefore currently run on a high-performance computing cluster in Norway. However, additional compute resources are necessary to open the ... -
Uni- and triaxial accelerometric signals agree during daily routine, but show differences between sports
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-10-10)Accelerometers objectively monitor physical activity, and ongoing research suggests they can also detect patterns of body movement. However, different types of signal (uniaxial, captured by older studies, vs. the newer triaxial) and or/device (validated Actigraph used by older studies, vs. others) may lead to incomparability of results from different time periods. Standardization is desirable. We ... -
Norwegian e-Infrastructure for Life Sciences (NeLS)
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-06-29)The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is available through easy-to-use web interfaces, including the Galaxy workbench for data analysis and workflow execution. Users confident with a command-line interface and programming may ... -
A systematic review of cluster detection mechanisms in syndromic surveillance: Towards developing a framework of cluster detection mechanisms for EDMON system
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018)Time lag in detecting disease outbreaks remains a threat to global health security. Currently, our research team is working towards a system called EDMON, which uses blood glucose level and other supporting parameters from people with type 1 diabetes, as indicator variables for outbreak detection. Therefore, this paper aims to pinpoint the state of the art cluster detection mechanism towards developing ... -
Shrinkage estimation of rate statistics
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-10-08)This paper presents a simple shrinkage estimator of rates based on Bayesian methods. Our focus is on crime rates as a motivating example. The estimator shrinks each town’s observed crime rate toward the country-wide average crime rate according to town size. By realistic simulations we confirm that the proposed estimator outperforms the maximum likelihood estimator in terms of global risk. We also ... -
Performance principles for trusted computing with intel SGX
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-14)Cloud providers offering Software-as-a-Service (SaaS) are increasingly being trusted by customers to store sensitive data. Companies often monetize such personal data through curation and analysis, providing customers with personalized application experiences and targeted advertisements. Personal data is often accompanied by strict privacy and security policies, requiring data processing to be ... -
Deep learning and hand-crafted feature based approaches for polyp detection in medical videos
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-23)Video analysis including classification, segmentation or tagging is one of the most challenging but also interesting topics multimedia research currently try to tackle. This is often related to videos from surveillance cameras or social media. In the last years, also medical institutions produce more and more video and image content. Some areas of medical image analysis, like radiology or brain ... -
Dissecting deep neural networks for better medical image classification and classification understanding
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-23)Neural networks, in the context of deep learning, show much promise in becoming an important tool with the purpose assisting medical doctors in disease detection during patient examinations. However, the current state of deep learning is something of a "black box", making it very difficult to understand what internal processes lead to a given result. This is not only true for non-technical users but ... -
Design and development of a context-aware knowledge-based module for identifying relevant information and information gaps in patients with type 1 diabetes self-collected health data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-11)<p><i>Background</i>: Patients with diabetes use an increasing number of self-management tools in their daily life. However, health institutions rarely use the data generated by these services mainly due to (1) the lack of data reliability, and (2) medical workers spending too much time extracting relevant information from the vast amount of data produced. This work is part of the FullFlow project, ... -
Quantified Soccer Using Positional Data: A Case Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-07-06)Performance development in international soccer is undergoing a silent revolution fueled by the rapidly increasing availability of athlete quantification data and advanced analytics. Objective performance data from teams and individual players are increasingly being collected automatically during practices and more recently also in matches after FIFA's 2015 approval of wearables in electronic ... -
Flexible Devices for Arctic Ecosystems Observations
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-11-26)<p>Devices for observing the environment range from basic sensor systems, like step-counters, through wild-life cameras, with limited processing capabilities, to more capable devices with significant processing, memory and storage resources. Individual usage domains can benefit from a range of functionalities in these devices including flexibility in prototyping, on- device analytics, network roaming, ... -
Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-03-22)Background: New fitness trackers and smartwatches are released to the consumer market every year. These devices are equipped with different sensors, algorithms, and accompanying mobile apps. With recent advances in mobile sensor technology, privately collected physical activity data can be used as an addition to existing methods for health data collection in research. Furthermore, data collected ... -
Design and evaluation of a computer-based 24-Hour physical activity recall (cpar24) instrument
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-05-30)<p><i>Background</i>: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies.</p> <p><i>Objective</i>: The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpar24) instrument with ... -
Efficient disease detection in gastrointestinal videos – global features versus neural networks
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-07-19)Analysis of medical videos from the human gastrointestinal (GI) tract for detection and localization of abnormalities like lesions and diseases requires both high precision and recall. Additionally, it is important to support efficient, real-time processing for live feedback during (i) standard colonoscopies and (ii) scalability for massive population-based screening, which we conjecture can be done ... -
The metagenomic data life-cycle: standards and best practices
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-08-01)Metagenomics data analyses from independent studies can only be compared if the analysis workflows are described in a harmonized way. In this overview, we have mapped the landscape of data standards available for the description of essential steps in metagenomics: (i) material sampling, (ii) material sequencing, (iii) data analysis, and (iv) data archiving and publishing. Taking examples from marine ... -
Privacy preserving distributed computation of community health research data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-09-19)Research in community health introduces challenges regarding analysis of the research data. It involves multiple actors in a varity of arenas, and it is often directed towards the local community and children and their families. The legal, ethical and privacy issues involved introduce constraints upon the analysis performed. SNOOP combined with the D2Worm declarative modelling and infrastructure ... -
Are health videos from hospitals, health organizations, and active users available to health consumers? An analysis of diabetes health video ranking in YouTube
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-01-24)Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information ...