This work addresses the problem of energy consumption time series forecasting. In our approach, a set of time series containing energy consumption data is used to train a single, parameterised prediction model that can be used to predict future values for all the input time series. As a result, the proposed method is able to learn the common behaviour of all time series in the set (i.e., a fingerprint) and use this knowledge to perform the prediction task, and to explain this common behaviour as an algebraic formula. To that end, we use symbolic regression methods trained with both single- and multi-objective algorithms. Experimental results validate this approach to learn and model shared properties of different time series, which can then be used to obtain a generalised regression model encapsulating the global behaviour of different energy consumption time series. ; This work was supported by the Spanish Government (research project TIN201564776-C3-1-R). M. Molina-Solana was funded by European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 743623.
We investigated whether and how political misinformation is engineered using a dataset of four months worth of tweets related to the 2016 presidential election in the United States. The data contained tweets that achieved a signi cant level of exposure and was manually labelled into misinformation and regular information. We found that misinformation was produced by accounts that exhibit different characteristics and behaviour from regular accounts. Moreover, the content of misinformation is more novel, polarised and appears to change through coordination. Our ndings suggest that engineering of political misinformation seems to exploit human traits such as reciprocity and con rmation bias. We argue that investigating how misinformation is created is essential to understand human biases, diffusion and ultimately better produce public policy. ; The work of M. Molina-Solana was supported by the European Commission under Grant 743623. The work of J. Amador Díaz López was supported by the Imperial College Research Fellowship. The work of J. Gómez-Romero was supported by the Universidad de Granada under Grant P9-2014-ING and in part by the Spanish Ministry of Education, Culture and Sport under the José Castillejo Research Stays Programme.
U-BIOPRED is a European Union consortium of 20 academic institutions, 11 pharmaceutical companies and six patient organisations with the objective of improving the understanding of asthma disease mechanisms using a systems biology approach.This cross-sectional assessment of adults with severe asthma, mild/moderate asthma and healthy controls from 11 European countries consisted of analyses of patient-reported outcomes, lung function, blood and airway inflammatory measurements.Patients with severe asthma (nonsmokers, n=311; smokers/ex-smokers, n=110) had more symptoms and exacerbations compared to patients with mild/moderate disease (n=88) (2.5 exacerbations versus 0.4 in the preceding 12 months; p
In: Auffray , C , Balling , R , Barroso , I , Bencze , L , Benson , M , Bergeron , J , Bernal-Delgado , E , Blomberg , N , Bock , C , Conesa , A , Del Signore , S , Delogne , C , Devilee , P , Di Meglio , A , Eijkemans , M , Flicek , P , Graf , N , Grimm , V , Guchelaar , H J , Guo , Y K , Gut , I G , Hanbury , A , Hanif , S , Hilgers , R D , Honrado , Á , Hose , D R , Houwing-Duistermaat , J , Hubbard , T , Janacek , S H , Karanikas , H , Kievits , T , Kohler , M , Kremer , A , Lanfear , J , Lengauer , T , Maes , E , Meert , T , Müller , W , Nickel , D , Oledzki , P , Pedersen , B , Petkovic , M , Pliakos , K , Rattray , M , i Màs , J R , Schneider , R , Sengstag , T , Serra-Picamal , X , Spek , W , Vaas , L A I , van Batenburg , O , Vandelaer , M , Varnai , P , Villoslada , P , Vizcaíno , J A , Wubbe , J P M & Zanetti , G 2016 , ' Making sense of big data in health research : Towards an EU action plan ' , Genome medicine , vol. 8 , no. 1 , 71 . https://doi.org/10.1186/s13073-016-0323-y
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
In: Auffray , C , Balling , R , Barroso , I , Bencze , L , Benson , M , Bergeron , J , Bernal-Delgado , E , Blomberg , N , Bock , C , Conesa , A , Del Signore , S , Delogne , C , Devilee , P , Di Meglio , A , Eijkemans , M , Flicek , P , Graf , N , Grimm , V , Guchelaar , H-J , Guo , Y-K , Gut , I G , Hanbury , A , Hanif , S , Hilgers , R-D , Honrado , Á , Hose , D R , Houwing-Duistermaat , J , Hubbard , T , Janacek , S H , Karanikas , H , Kievits , T , Kohler , M , Kremer , A , Lanfear , J , Lengauer , T , Maes , E , Meert , T , Müller , W , Nickel , D , Oledzki , P , Pedersen , B , Petkovic , M , Pliakos , K , Rattray , M , I Màs , J R , Schneider , R , Sengstag , T , Serra-Picamal , X , Spek , W , Vaas , L A I , van Batenburg , O , Vandelaer , M , Varnai , P , Villoslada , P , Vizcaíno , J A , Wubbe , J P M & Zanetti , G 2016 , ' Making sense of big data in health research : Towards an EU action plan ' Genome Medicine , vol 8 , no. 1 , pp. 71 . DOI:10.1186/s13073-016-0323-y
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
In: Auffray , C , Balling , R , Barroso , I , Bencze , L , Benson , M , Bergeron , J , Bernal-Delgado , E , Blomberg , N , Bock , C , Conesa , A , Del Signore , S , Delogne , C , Devilee , P , Di Meglio , A , Eijkemans , M , Flicek , P , Graf , N , Grimm , V , Guchelaar , H J , Guo , Y K , Gut , I G , Hanbury , A , Hanif , S , Hilgers , R D , Honrado , Á , Hose , D R , Houwing-Duistermaat , J , Hubbard , T , Janacek , S H , Karanikas , H , Kievits , T , Kohler , M , Kremer , A , Lanfear , J , Lengauer , T , Maes , E , Meert , T , Müller , W , Nickel , D , Oledzki , P , Pedersen , B , Petkovic , M , Pliakos , K , Rattray , M , i Màs , J R , Schneider , R , Sengstag , T , Serra-Picamal , X , Spek , W , Vaas , L A I , van Batenburg , O , Vandelaer , M , Varnai , P , Villoslada , P , Vizcaíno , J A , Wubbe , J P M & Zanetti , G 2016 , ' Erratum to : Making sense of big data in health research: Towards an EU action plan [Genome Med., 8 (2016) (71)] ' , Genome medicine , vol. 8 , no. 1 , 118 . https://doi.org/10.1186/s13073-016-0376-y
The published article [1] has two points of confusion in the section entitled "Technical challenges related to the management of electronic health records". Firstly, the International Rare Diseases Research Consortium (IRDiRC) has developed policies and guidelines on approaches to data sharing meant to enable and improve the development of diagnoses and therapies for rare diseases. However, at present, IRDiRC has not developed best practices for the management of electronic health records (EHRs). Secondly, RARE-Bestpractices is a European Commission 7th Framework Programme (FP7) funded initiative, independent of IRDiRC. RARE-Bestpractices contributes to IRDiRC goals and objectives; however the initiative itself is not sponsored nor connected to IRDiRC.
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health arid healthcare for all Europearis. ; Funding Agencies|European Union [115568, 603160, 282510, 664691, 115749, 305033, 305397, 288028, 242189, 211601]; European Molecular Biology Laboratory; Wellcome Trust [WT098051]; [115372]; [257082]; [291814]; [291728]; [321567]; [262055]; [115446]; [602552]; [644753]; [634143]; [261357]; [305280]; [115525]; [2011 23 02]; [270089]; [278433]; [602525]; [201418]; [242135]; [260558]; [223411]; [305626]; [115621]; [611388]; [306000]; [354457]; [305564]; [115010]; [269978]
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.