Institution
Norwegian University of Science and Technology
Education•Trondheim, Norway•
About: Norwegian University of Science and Technology is a education organization based out in Trondheim, Norway. It is known for research contribution in the topics: Population & Computer science. The organization has 23182 authors who have published 68917 publications receiving 1929313 citations. The organization is also known as: NTNU & Norwegian University of Science and Technology (NTNU).
Papers published on a yearly basis
Papers
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Theo Vos1, Amanuel Alemu Abajobir, Kalkidan Hassen Abate2, Cristiana Abbafati3 +775 more•Institutions (305)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.
10,401 citations
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TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
9,324 citations
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TL;DR: Prevalence and severity of health loss were weakly correlated and age-specific prevalence of YLDs increased with age in all regions and has decreased slightly from 1990 to 2010, but population growth and ageing have increased YLD numbers and crude rates over the past two decades.
7,021 citations
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TL;DR: The results for 1990 and 2010 supersede all previously published Global Burden of Disease results and highlight the importance of understanding local burden of disease and setting goals and targets for the post-2015 agenda taking such patterns into account.
6,861 citations
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TL;DR: An overview of the foundational issues related to case-based reasoning is given, some of the leading methodological approaches within the field are described, and the current state of the field is exemplified through pointers to some systems.
Abstract: Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other continents, and we are now within a period of highly active research in case-based reasoning in Europe, as well. This paper gives an overview of the foundational issues related to case-based reasoning, describes some of the leading methodological approaches within the field, and exemplifies the current state through pointers to some systems. Initially, a general framework is defined, to which the subsequent descriptions and discussions will refer. The framework is influenced by recent methodologies for knowledge level descriptions of intelligent systems. The methods for case retrieval, reuse, solution testing, and learning are summarized, and their actual realization is discussed in the light of a few example systems that represent different CBR approaches. We also discuss the role of case-based methods as one type of reasoning and learning method within an integrated system architecture.
5,750 citations
Authors
Showing all 23610 results
Name | H-index | Papers | Citations |
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George Davey Smith | 224 | 2540 | 248373 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Dorret I. Boomsma | 176 | 1507 | 136353 |
Hua Zhang | 163 | 1503 | 116769 |
Johan G. Eriksson | 156 | 1257 | 123325 |
Anders M. Dale | 156 | 823 | 133891 |
Michael Boehnke | 152 | 511 | 136681 |
William A. Goddard | 151 | 1653 | 123322 |
F. K. Hansen | 132 | 381 | 102869 |
Gideon Koren | 129 | 1994 | 81718 |
Adrian Bauman | 127 | 1061 | 91151 |
Carlos A. Camargo | 125 | 1283 | 69143 |
Douglas T. Golenbock | 123 | 317 | 61267 |
Thomas H. Marwick | 121 | 1063 | 58763 |
John A. Tainer | 119 | 493 | 48069 |