| 1. |
- Andler, Sten F., et al.
(författare)
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Information Fusion from Databases, Sensors and Simulations : A Collaborative Research Program
- 2005
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Ingår i: Proceedings. - : IEEE Computer Society. - 0769523064 ; , s. 234-241
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Konferensbidrag (refereegranskat)abstract
- This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program’s general approach and main research areas, with a particular focus on the role of information fusion in systems development
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| 2. |
- Boström, Henrik, et al.
(författare)
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On the Definition of Information Fusion as a Field of Research
- 2007
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- A more precise definition of the field of information fusion can be of benefit to researchers within the field, who may use uch a definition when motivating their own work and evaluating the contribution of others. Moreover, it can enable researchers and practitioners outside the field to more easily relate their own work to the field and more easily understand the scope of the techniques and methods developed in the field. Previous definitions of information fusion are reviewed from that perspective, including definitions of data and sensor fusion, and their appropriateness as definitions for the entire research field are discussed. Based on strengths and weaknesses of existing definitions, a novel definition is proposed, which is argued to effectively fulfill the requirements that can be put on a definition of information fusion as a field of research.
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| 3. |
- Browall, Maria, et al.
(författare)
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Patient-reported stressful events and coping strategies in post-menopausal women with breast cancer
- 2016
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Ingår i: European Journal of Cancer Care. - : Hindawi Limited. - 0961-5423 .- 1365-2354. ; 25:2, s. 324-333
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Tidskriftsartikel (refereegranskat)abstract
- The objective of this paper was to explore what stressful events post-menopausal women with primary or recurrent breast cancer experience, how bothersome these events were and which coping strategies these women used. Data were collected from 131 patients diagnosed with primary or recurrent breast cancer. The Daily Coping Assessment was used. Thematic analysis was applied to form themes of stressful events. Six types of stressful events were extracted. The most frequently experienced events for women with primary cancer and those with recurrent cancer were distressing bodily symptoms'. The most bothersome event among primary cancer was everyday concerns' and in the recurrent group, distressing psychological reactions'. The most commonly used strategies were acceptance', distraction' and relaxation'. This study shows that women in different parts of the cancer trajectory differ in what they perceive to be stressful events when reporting them in their own words in a diary. The differences have an impact on the subsequent coping strategies they used.
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| 4. |
- Olsson, Björn, et al.
(författare)
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An Information Fusion Approach to Controlling Complexity in Bioinformatics Research
- 2005
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Ingår i: 2005 IEEE Computational Systems Bioinformatics Conference: Workshops & Poster Abstracts. - : IEEE Computer Society. - 0769524427 ; , s. 299-304
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Konferensbidrag (refereegranskat)abstract
- Information Fusion (IF) is about combining, or fusing, information from different sources in order to facilitate our understanding of a complex system and thereby provide insights that could not be gained from any of the individual data sources in isolation. We argue in this paper that there is a need for applying an IF approach in bioinformatics research, since the aim of bioinformatics is to understand complex biological systems using many different data sources providing complementary views of the system. We illustrate this argument with two application examples, where IF-based bioinformatics is applied to the study of stem cell differentiation and lipid digestion, respectively. We also discuss the use of automated information extraction from text sources, which is an essential component of a bioinformatics IF approach, given the abundant literature.
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