1.
Penzenstadler, Birgit, 1981, et al.
(författare)
Bots in Software Engineering
2022
Ingår i: IEEE Software. - 1937-4194 .- 0740-7459. ; 39:5, s. 101-104
Forskningsöversikt (refereegranskat)
2.
Tavara, Shirin
(författare)
Parallel Computing of Support Vector Machines : A Survey
2019
Ingår i: ACM Computing Surveys. - United States : Association for Computing Machinery (ACM). - 0360-0300 .- 1557-7341. ; 51:6, s. 123:1-123:38
Forskningsöversikt (refereegranskat) abstract
The immense amount of data created by digitalization requires parallel computing for machine-learning methods. While there are many parallel implementations for support vector machines (SVMs), there is no clear suggestion for every application scenario. Many factor—including optimization algorithm, problem size and dimension, kernel function, parallel programming stack, and hardware architecture—impact the efficiency of implementations. It is up to the user to balance trade-offs, particularly between computation time and classification accuracy. In this survey, we review the state-of-the-art implementations of SVMs, their pros and cons, and suggest possible avenues for future research.
3.
4.
Dekkers, Ilona A., et al.
(författare)
Consensus-based technical recommendations for clinical translation of renal T1 and T2 mapping MRI
2020
Ingår i: Magnetic Resonance Materials in Physics, Biology, and Medicine. - : Springer Science and Business Media LLC. - 1352-8661 .- 0968-5243. ; 33:1, s. 163-176
Forskningsöversikt (refereegranskat) abstract
To develop technical recommendations on the acquisition and post-processing of renal longitudinal (T1) and transverse (T2) relaxation time mapping. A multidisciplinary panel consisting of 18 experts in the field of renal T1 and T2 mapping participated in a consensus project, which was initiated by the European Cooperation in Science and Technology Action PARENCHIMA CA16103. Consensus recommendations were formulated using a two-step modified Delphi method. The first survey consisted of 56 items on T1 mapping, of which 4 reached the pre-defined consensus threshold of 75% or higher. The second survey was expanded to include both T1 and T2 mapping, and consisted of 54 items of which 32 reached consensus. Recommendations based were formulated on hardware, patient preparation, acquisition, analysis and reporting. Consensus-based technical recommendations for renal T1 and T2 mapping were formulated. However, there was considerable lack of consensus for renal T1 and particularly renal T2 mapping, to some extent surprising considering the long history of relaxometry in MRI, highlighting key knowledge gaps that require further work. This paper should be regarded as a first step in a long-term evidence-based iterative process towards ever increasing harmonization of scan protocols across sites, to ultimately facilitate clinical implementation.
5.
Muccini, Henry, et al.
(författare)
Collaborative Modeling in Software Engineering
2018
Ingår i: IEEE Software. - 1937-4194 .- 0740-7459. ; 35:6, s. 20-24
Forskningsöversikt (refereegranskat) abstract
The topic of collaborative modeling has long been relevant in software. Collaborative facilities are part and parcel of modeling tools, and every day hundreds of thousands of developers engage in collaborative modeling of some sort. This theme issue contains four articles spanning a variety of areas in collaborative modeling. The first article offers a somewhat classic approach to handling collaborative-design conflicts. The second one addresses securely sharing only parts of a collaborative model. The third discusses whether distance still matters in collaborative design. The fourth introduces a timely approach to collaborative modeling through chatbots.
6.
Névéol, Aurélie, et al.
(författare)
Clinical Natural Language Processing in languages other than English : opportunities and challenges
2018
Ingår i: Journal of Biomedical Semantics. - : Springer Science and Business Media LLC. - 2041-1480. ; 9
Forskningsöversikt (refereegranskat) abstract
Background: Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English. Recent studies are summarized to offer insights and outline opportunities in this area. Main Body: We envision three groups of intended readers: (1) NLP researchers leveraging experience gained in other languages, (2) NLP researchers faced with establishing clinical text processing in a language other than English, and (3) clinical informatics researchers and practitioners looking for resources in their languages in order to apply NLP techniques and tools to clinical practice and/or investigation. We review work in clinical NLP in languages other than English. We classify these studies into three groups: (i) studies describing the development of new NLP systems or components de novo, (ii) studies describing the adaptation of NLP architectures developed for English to another language, and (iii) studies focusing on a particular clinical application. Conclusion: We show the advantages and drawbacks of each method, and highlight the appropriate application context. Finally, we identify major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.
7.
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.
8.
Bergström, Anna, 1983-, et al.
(författare)
The use of the PARIHS framework in implementation research and practice-a citation analysis of the literature
2020
Ingår i: Implementation science : IS. - : Springer Science and Business Media LLC. - 1748-5908. ; 15:1
Forskningsöversikt (refereegranskat) abstract
BACKGROUND: The Promoting Action on Research Implementation in Health Services (PARIHS) framework was developed two decades ago and conceptualizes successful implementation (SI) as a function (f) of the evidence (E) nature and type, context (C) quality, and the facilitation (F), [SI = f (E,C,F)]. Despite a growing number of citations of theoretical frameworks including PARIHS, details of how theoretical frameworks are used remains largely unknown. This review aimed to enhance the understanding of the breadth and depth of the use of the PARIHS framework. METHODS: This citation analysis commenced from four core articles representing the key stages of the framework's development. The citation search was performed in Web of Science and Scopus. After exclusion, we undertook an initial assessment aimed to identify articles using PARIHS and not only referencing any of the core articles. To assess this, all articles were read in full. Further data extraction included capturing information about where (country/countries and setting/s) PARIHS had been used, as well as categorizing how the framework was applied. Also, strengths and weaknesses, as well as efforts to validate the framework, were explored in detail. RESULTS: The citation search yielded 1613 articles. After applying exclusion criteria, 1475 articles were read in full, and the initial assessment yielded a total of 367 articles reported to have used the PARIHS framework. These articles were included for data extraction. The framework had been used in a variety of settings and in both high-, middle-, and low-income countries. With regard to types of use, 32% used PARIHS in planning and delivering an intervention, 50% in data analysis, 55% in the evaluation of study findings, and/or 37% in any other way. Further analysis showed that its actual application was frequently partial and generally not well elaborated. CONCLUSIONS: In line with previous citation analysis of the use of theoretical frameworks in implementation science, we also found a rather superficial description of the use of PARIHS. Thus, we propose the development and adoption of reporting guidelines on how framework(s) are used in implementation studies, with the expectation that this will enhance the maturity of implementation science.
9.
Henkel, Martin
(författare)
A framework for understanding the vision, goals, instruments and uses of software services
2004
Ingår i: Journal of Integrated Design & Process Science. - 1092-0617 .- 1875-8959. ; 8:1, s. 129-141
Forskningsöversikt (refereegranskat) abstract
Software services have been suggested for use in several areas such as business-to-business communication, system integration and as an enabler for virtual enterprises. However, it has not been clear if the use of services in these different areas is guided by a common vision, and if they share goals and technical background. By introducing a framework that relates the vision and goals of software services to different categories of service use, this work presents an overview of the instruments needed for the development of software services. The framework spans across four interrelated parts; the vision, goals, instruments and categories of service use. Firstly a single vision for software services is proposed. This vision is then divided into the three goals of modularity, integration and discovery. Furthermore, the high-level instruments needed to achieve each goal are presented. The use of services is classified into four categories depending on reach and extent i.e.: point wise-internal, point wise-external, infrastructure-internal and infrastructure-external use. The framework presented in this paper shows how these categories of service utilise the defined instruments. As an example of framework use, the instruments needed to create a process-centric service infrastructure for infra-enterprise use is proposed.
10.
Elragal, Rawan, et al.
(författare)
Healthcare analytics—A literature review and proposed research agenda
2023
Ingår i: Frontiers in Big Data. - : Frontiers Media S.A.. - 2624-909X. ; 6
Forskningsöversikt (refereegranskat) abstract
This research addresses the demanding need for research in healthcare analytics, by explaining how previous studies have used big data, AI, and machine learning to identify, address, or solve healthcare problems. Healthcare science methods are combined with contemporary data science techniques to examine the literature, identify research gaps, and propose a research agenda for researchers, academic institutions, and governmental healthcare organizations. The study contributes to the body of literature by providing a state-of-the-art review of healthcare analytics as well as proposing a research agenda to advance the knowledge in this area. The results of this research can be beneficial for both healthcare science and data science researchers as well as practitioners in the field.
