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Sökning: hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap) hsv:(Systemvetenskap informationssystem och informatik) > Karolinska Institutet

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1.
  • Memedi, Mevludin, 1983-, et al. (författare)
  • Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease
  • 2015
  • Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 15:9, s. 23727-23744
  • Tidskriftsartikel (refereegranskat)abstract
    • A challenge for the clinical management of advanced Parkinson's disease (PD) patients is the emergence of fluctuations in motor performance, which represents a significant source of disability during activities of daily living of the patients. There is a lack of objective measurement of treatment effects for in-clinic and at-home use that can provide an overview of the treatment response. The objective of this paper was to develop a method for objective quantification of advanced PD motor symptoms related to off episodes and peak dose dyskinesia, using spiral data gathered by a touch screen telemetry device. More specifically, the aim was to objectively characterize motor symptoms (bradykinesia and dyskinesia), to help in automating the process of visual interpretation of movement anomalies in spirals as rated by movement disorder specialists. Digitized upper limb movement data of 65 advanced PD patients and 10 healthy (HE) subjects were recorded as they performed spiral drawing tasks on a touch screen device in their home environment settings. Several spatiotemporal features were extracted from the time series and used as inputs to machine learning methods. The methods were validated against ratings on animated spirals scored by four movement disorder specialists who visually assessed a set of kinematic features and the motor symptom. The ability of the method to discriminate between PD patients and HE subjects and the test-retest reliability of the computed scores were also evaluated. Computed scores correlated well with mean visual ratings of individual kinematic features. The best performing classifier (Multilayer Perceptron) classified the motor symptom (bradykinesia or dyskinesia) with an accuracy of 84% and area under the receiver operating characteristics curve of 0.86 in relation to visual classifications of the raters. In addition, the method provided high discriminating power when distinguishing between PD patients and HE subjects as well as had good test-retest reliability. This study demonstrated the potential of using digital spiral analysis for objective quantification of PD-specific and/or treatment-induced motor symptoms.
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2.
  • Memedi, Mevludin, et al. (författare)
  • Validity and responsiveness of at-home touch-screen assessments in advanced Parkinson's disease
  • 2015
  • Ingår i: IEEE journal of biomedical and health informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 2168-2194 .- 2168-2208. ; 19:6, s. 1829-1834
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this study was to investigate if a telemetry test battery can be used to measure effects of Parkinson’s disease (PD) treatment intervention and disease progression in patients with fluctuations. Sixty-five patients diagnosed with advanced PD were recruited in an open longitudinal 36-month study; 35 treated with levodopa-carbidopa intestinal gel (LCIG) and 30 were candidates for switching from oral PD treatment to LCIG. They utilized a test battery, consisting of self-assessments of symptoms and fine motor tests (tapping and spiral drawings), four times per day in their homes during week-long test periods. The repeated measurements were summarized into an overall test score (OTS) to represent the global condition of the patient during a test period. Clinical assessments included ratings on Unified PD Rating Scale (UPDRS) and 39-item PD Questionnaire (PDQ-39) scales. In LCIG-naïve patients, mean OTS compared to baseline was significantly improved from the first test period on LCIG treatment until month 24. In LCIG-non-naïve patients, there were no significant changes in mean OTS until month 36. The OTS correlated adequately with total UPDRS (rho = 0.59) and total PDQ-39 (0.59). Responsiveness measured as effect size was 0.696 and 0.536 for OTS and UPDRS respectively. The trends of the test scores were similar to the trends of clinical rating scores but dropout rate was high. Correlations between OTS and clinical rating scales were adequate indicating that the test battery contains important elements of the information of well-established scales. The responsiveness and reproducibility were better for OTS than for total UPDRS.
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3.
  • Hrastinski, Stefan, et al. (författare)
  • Design exemplars for synchronous e-learning : A design theory approach
  • 2010
  • Ingår i: Computers and education. - Amsterdam : Elsevier BV. - 0360-1315 .- 1873-782X. ; 55:2, s. 652-662
  • Tidskriftsartikel (refereegranskat)abstract
    • Synchronous e-learning has received much less research attention, as compared with asynchronous e-learning. Practitioners that consider using and designing synchronous e-learning are in urgent need of guidance. In order to address this need, we propose design exemplars for synchronous e-learning. They are directed towards a primary constituent community of teachers, administrators, managers and developers of e-learning. The exemplars have been theoretically as well as empirically grounded through cross-case analyses of studies conducted between 2003 and 2006. Moreover, the exemplars have been evaluated by conducting focus group sessions with experienced practitioners having experience of using and developing e-learning. Strong support was identified for each design exemplar. The exemplars can be used as research hypotheses and be tested in future design research. (C) 2010 Elsevier Ltd. All rights reserved.
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4.
  • Björnsson, Bergthor, et al. (författare)
  • Digital twins to personalize medicine
  • 2020
  • Ingår i: Genome Medicine. - : Springer Science and Business Media LLC. - 1756-994X. ; 12:1
  • Forskningsöversikt (refereegranskat)abstract
    • Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient.
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5.
  • Brouwers, Lisa, et al. (författare)
  • Micro-simulation of a smallpox outbreak using official register data
  • 2010
  • Ingår i: Eurosurveillance. - : European Centre for Disease Control and Prevention (ECDC). - 1560-7917 .- 1025-496X. ; 15
  • Tidskriftsartikel (refereegranskat)abstract
    • To explore the efficacy of four vaccine-based policy strategies (ring vaccination, targeted vaccination, mass vaccination, and pre-vaccination of healthcare personnel combined with ring vaccination) for controlling smallpox outbreaks in Sweden, disease transmission on a spatially explicit social network was simulated. The mixing network was formed from high-coverage official register data of the entire Swedish population, building on the Swedish Total Population Register, the Swedish Employment Register, and the Geographic Database of Sweden. The largest reduction measured in the number of infections was achieved when combining ring vaccination with a pre-vaccination of healthcare personnel. In terms of per dose effectiveness, ring vaccination was by far the most effective strategy. The results can to some extent be adapted to other diseases and environments, including other countries, and the methods used can be analysed in their own right.
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6.
  • Mårtensson, Pär, et al. (författare)
  • Evaluating research : A multidisciplinary approach to assessing research practice and quality
  • 2016
  • Ingår i: Research Policy. - : Elsevier BV. - 0048-7333 .- 1873-7625. ; 45:3, s. 593-603
  • Tidskriftsartikel (refereegranskat)abstract
    • There are few widely acknowledged quality standards for research practice, and few definitions of what constitutes good research. The overall aim was therefore to describe what constitutes research, and then to use this description to develop a model of research practice and to define concepts related to its quality. The primary objective was to explore such a model and to create a multidisciplinary understanding of the generic dimensions of the quality of research practice. Eight concept modelling working seminars were conducted. A graphic representation of concepts and their relationships was developed to bridge the gap between different disciplines. A concept model of research as a phenomenon was created, which included a total of 18 defined concepts and their relationships. In a second phase four main areas were distilled, describing research practice in a multidisciplinary context: Credible, Contributory, Communicable, and Conforming. Each of these was further specified in a concept hierarchy together with a defined terminology. A comprehensive quality model including 32 concepts, based on the four main areas, was developed for describing quality issues of research practice, where the model of research as a phenomenon was used to define the quality concepts. The quality model may be used for further development of elements, weights and operationalizations related to the quality of research practice in different academic fields. (C) 2015 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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7.
  • Abrams, M. B., et al. (författare)
  • A Standards Organization for Open and FAIR Neuroscience : the International Neuroinformatics Coordinating Facility
  • 2021
  • Ingår i: Neuroinformatics. - : Springer Nature. - 1539-2791 .- 1559-0089.
  • Tidskriftsartikel (refereegranskat)abstract
    • There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge stores of neuroscience data. At the same time, neuroscience, like many domains in biomedicine, is confronting the issues of transparency, rigor, and reproducibility. Widely used, validated standards and best practices are key to addressing the challenges in both big and small data science, as they are essential for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. However, developing community standards and gaining their adoption is difficult. The current landscape is characterized both by a lack of robust, validated standards and a plethora of overlapping, underdeveloped, untested and underutilized standards and best practices. The International Neuroinformatics Coordinating Facility (INCF), an independent organization dedicated to promoting data sharing through the coordination of infrastructure and standards, has recently implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. By formally serving as a standards organization dedicated to open and FAIR neuroscience, INCF helps evaluate, promulgate, and coordinate standards and best practices across neuroscience. Here, we provide an overview of the process and discuss how neuroscience can benefit from having a dedicated standards body.
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8.
  • Sernadela, P, et al. (författare)
  • Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer
  • 2017
  • Ingår i: BioMed research international. - : Hindawi Limited. - 2314-6141 .- 2314-6133. ; 2017, s. 8327980-
  • Tidskriftsartikel (refereegranskat)abstract
    • Patient registries are an essential tool to increase current knowledge regarding rare diseases. Understanding these data is a vital step to improve patient treatments and to create the most adequate tools for personalized medicine. However, the growing number of disease-specific patient registries brings also new technical challenges. Usually, these systems are developed as closed data silos, with independent formats and models, lacking comprehensive mechanisms to enable data sharing. To tackle these challenges, we developed a Semantic Web based solution that allows connecting distributed and heterogeneous registries, enabling the federation of knowledge between multiple independent environments. This semantic layer creates a holistic view over a set of anonymised registries, supporting semantic data representation, integrated access, and querying. The implemented system gave us the opportunity to answer challenging questions across disperse rare disease patient registries. The interconnection between those registries using Semantic Web technologies benefits our final solution in a way that we can query single or multiple instances according to our needs. The outcome is a unique semantic layer, connecting miscellaneous registries and delivering a lightweight holistic perspective over the wealth of knowledge stemming from linked rare disease patient registries.
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9.
  • Shao, WG, et al. (författare)
  • The SysteMHC Atlas project
  • 2018
  • Ingår i: Nucleic acids research. - : Oxford University Press (OUP). - 1362-4962 .- 0305-1048. ; 46:D1, s. D1237-D1247
  • Tidskriftsartikel (refereegranskat)
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10.
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