Milun Kostic, Clifford Longley, Derek Allhusen, Anne Billson, Jane MacQuitty, Simon Barnes, Diana Wildman, Andrew Longmore, David Miller Chief Sports Correspondent, F. Kay (Director), Ronald Faux, John Gittelsohn, Michael Stevenson, Philip Howard, Hilary Finch, Ian Murray, B. J. Boughton, Jeremy Kingston, Dudley Fishburn, Richard Evans, Media Editor, Jeremy Flint, Dessa Trevisan, Richard Eaton, Kevin Eason, Motoring Correspondent, Tony Foreman, J. K., Kevin Eason, Colin Narbrough, Geoff Brown, Gerald Davies, Vivien Goldsmith, Francesca Greenoak, Henry Gee, Jim Railton, Mark Souster, Andrew Pierce and Kerry Gill, Alan Lorimer, Norman Hammond, Archaeology Correspondent, Roland Rudd, Employment Affairs Reporter, Usha Prashar, Director, Mick Cleary, Libby Purves, Martin Andrew, Peter Waymark, Robin Young, Dave Wetzel, Leader, Michael McCarthy, Environment Correspondent, Alison Maguire, John Young, Philip Robinson, Andrew McEwen and Philip Webster, Frances Bissell, James Wood, Stuart Jones, Football Correspondent, Richard Thomson, Banking Correspondent, Rex Bellamy, Tennis Correspondent, Edward Gorman, Fiona MacCarthy, John Hennessy, Gerald Kaufman, A. D. Petty, Simon Tait, Mohsin Ali and Michael Evans, Cyril Cox, Christopher Pinsent, Rasit Gurdilek, Steven Downes, Nicole Swengley, Richard Williams, Janet Daley, Sydney Friskin, Nicholas Harling, Shona Crawford Poole Travel Editor, Dennis Signy, B. Adamczewski (Deputy Director), (Michael Phillips), David Toop, Wolfgang Münchau, Christopher Goulding, Michael Watkins, Kerry Gill, Raymond Keene, Peter Davalle, John Wilkins, Editor, Nicholas Brett, Steve Acteson, Andrew McEwen, Diplomatic Correspondent, Peter Bryan, W. J. Burroughs, Richard Evans, Sheila Gunn, Political Staff, John Blunsden, Richard Owen, Richard Ford, Legal Affairs Reporter, Marcel Berlins, Roger Boyes, Brian Beel, Keith MacKlin, Simon Tait, Arts Correspondent, Deyan Sudjic, Roger Henderson (Chairman), Rodney Hobson, David Hands Rugby Correspondent, David Brewerton, Christopher Thomas, Ian Smith, Catherine Sampson Peking, Christopher Walker, Sam Kiley, Higher Education Reporter, Robert Matthews, Technology Correspondent, Graham Searjeant, Financial Editor, Clive White, Paul Newman, Michael Seely, Owen Jenkins, Keith Blackmore, Jenny Gilbert, Phillip Chappell, Philippa Toomey, David Sinclair, Derek Harris, Peter Hankey, Bailey Morris, Jonathan Meades, Hugh Thompson, David Nicholson-Lord, David Tytler, Education Editor, David Powell, Maria Scott, Andrew McEwen Diplomatic Correspondent, Pearce Wright, Science Editor, B. N. Howell, Tim Miller, Colin Campbell, Shona Crawford Poole, Judy Froshaug, Richard Ford, Herbert, W. G. Balchin,
... Classified Advertising Items Steam-driven rhythms Jazz Garry Mulligen The Age of Steam (A&m Cda 0804 ...
1989 - Gale Group | TDA
Erbin Dai, Haiyan Guan, Liying Liu, Stephen H. Little, Grant McFadden, Sepideh Vaziri, Henian Cao, Iordanka A. Ivanova, Leila Bocksch, Alexandra Lucas,
... R. van den Oord J.J. Collen D. Mulligen R.C. Nature. 1994; 368: 419-424Crossref PubMed ... R. van den Oord J.J. Collen D. Mulligen R.C. Nature. 1994; 368: 419-424Crossref PubMed ... R. van den Oord J.J. Collen D. Mulligen R.C. Nature. 1994; 368: 419-424Crossref PubMed ...
Tópico(s): Cell Adhesion Molecules Research
2003 - Elsevier BV | Journal of Biological Chemistry
M. Świtoński, H.A. Ansari, Matthew A. Witenstein, Haijo Jung, G. Stranzinger,
... Flückiger and Dr. Bauer from the AI Station Mülligen for the help in getting material from Bos ... Flückiger and Dr. Bauer from the AI Station Mülligen for the help in getting material from Bos ...
Tópico(s): Silkworms and Sericulture Research
1990 - Wiley | Journal of Animal Breeding and Genetics
... system for clinical and healthcare information networks (Van Mulligen et al., 2000). Based on the Vector Space ... 1421–1426.CrossrefCASPubMedWeb of Science®Google Scholar Van Mulligen E.M., Diwersy M., Schmidt M., Buurman H. ...
Tópico(s): Genomics and Phylogenetic Studies
2002 - Springer Nature | EMBO Reports
Stefan Schulz, Elena Beißwanger, L. Van Hoek, Olivier Bodenreider, Erik M. van Mulligen,
For many years, the Unified Medical Language System (UMLS) semantic network (SN) has been used as an upper-level semantic framework for the categorization of terms from terminological resources in biomedicine. BioTop has recently been developed as an upper-level ontology for the biomedical domain. In contrast to the SN, it is founded upon strict ontological principles, using OWL DL as a formal representation language, which has become standard in the semantic Web. In order to make logic-based reasoning ...
Tópico(s): linguistics and terminology studies
2009 - Oxford University Press | Bioinformatics
Kristina Hettne, Rob Stierum, Martijn J. Schuemie, Peter J.M. Hendriksen, Bob J.A. Schijvenaars, Erik M. van Mulligen, Jos Kleinjans, Jan A. Kors,
From the scientific community, a lot of effort has been spent on the correct identification of gene and protein names in text, while less effort has been spent on the correct identification of chemical names. Dictionary-based term identification has the power to recognize the diverse representation of chemical information in the literature and map the chemicals to their database identifiers.We developed a dictionary for the identification of small molecules and drugs in text, combining information ...
Tópico(s): Advanced Text Analysis Techniques
2009 - Oxford University Press | Bioinformatics
Produção Nacional
Revisado por pares
Herman H. H. B. M. van Haagen, Peter A.C. ‘t Hoen, Alessandro Botelho Bovo, Antoine de Morrée, Erik M. van Mulligen, Christine Chichester, Jan A. Kors, Johan T. den Dunnen, Gert‐Jan B. van Ommen, Silvère M. van der Maarel, Vinı́cius Medina Kern, Barend Mons, Martijn J. Schuemie,
We have developed a method that predicts Protein-Protein Interactions (PPIs) based on the similarity of the context in which proteins appear in literature. This method outperforms previously developed PPI prediction algorithms that rely on the conjunction of two protein names in MEDLINE abstracts. We show significant increases in coverage (76% versus 32%) and sensitivity (66% versus 41% at a specificity of 95%) for the prediction of PPIs currently archived in 6 PPI databases. A retrospective analysis ...
Tópico(s): Biomedical Text Mining and Ontologies
2009 - Public Library of Science | PLoS ONE
F.J.P.M. Kwaad, Erik M. van Mulligen,
Two natural rainfall events are compared to evaluate the effects of three cropping systems of silage maize on soil moisture content, infiltration, runoff and erosion. Both rainfall events took place in early summer. One was a low intensity event with 27.6 mm of rain in 9 hours, and the other a high intensity event with 33.4 mm in 42 minutes. Cropping systems were: (I) a spring tilled system (conventional), (II) an autumn and spring tilled system with summer barley as spring cover crop, and (III) an ...
Tópico(s): Landslides and related hazards
1991 - Elsevier BV | Soil Technology
A.C. Imeson, J.M. Verstraten, E.J. van Mulligen, J. Sevink,
An investigation is being made into the relationship between forest fire and hillslope hydrology in the Selva region of Catalonia over a three year period at sites with a known fire history. The major sites are on granite, granodiorite or on sediments derived from these rocks at locations between Santa Christina d'Aro and Santa Coloma de Farnes. It appears that there is a general relationship between the type of organic profile found in a forest and the impact of fire in terms of loss of organic ...
Tópico(s): Flood Risk Assessment and Management
1992 - Elsevier BV | CATENA
Erik M. van Mulligen, T. Timmers, Jaap Brand, Ronald Cornet, F van den Heuvel, M Kalshoven, Jan H. van Bemmel,
An architecture is described that facilitates integration of existing databases and applications without modifying them. By means of this architecture, data from different sources dispersed in a network can be combined and directly used in existing applications or applications that have been developed specially for integration. This feature of combining data from different sources into one workstation is viewed as the enabling technology on which computer-based patient records can be built. The ...
Tópico(s): Electronic Health Records Systems
1994 - Elsevier BV | International Journal of Bio-Medical Computing
Serena Viappiani, Adrian C. Nicolescu, Andrew Holt, Grzegorz Sawicki, Bryan D. Crawford, Hernando León, Tyler van Mulligen, Richard Schulz,
Tópico(s): Cardiac Fibrosis and Remodeling
2008 - Elsevier BV | Biochemical Pharmacology
Produção Nacional
Revisado por pares
Barend Mons, Michael Ashburner, Christine Chichester, Erik M. van Mulligen, Marc Weeber, Johan T. den Dunnen, Gert‐Jan B. van Ommen, Mark A. Musen, Matthew Cockerill, Henning Hermjakob, Albert Mons, Abel L. Packer, Roberto Carlos dos Santos Pacheco, Suzanna Lewis, Alfred R. Berkeley, William Melton, Nickolas Barris, Jimmy Wales, Gerard Meijssen, Erik Moeller, Peter‐Jan Roes, Katy Börner, Amos Bairoch,
Abstract WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' ...
Tópico(s): Genomics and Phylogenetic Studies
2008 - BioMed Central | Genome biology
Kang Ning, Erik M. van Mulligen, Jan A. Kors,
Text chunking is an essential pre-processing step in information extraction systems. No comparative studies of chunking systems, including sentence splitting, tokenization and part-of-speech tagging, are available for the biomedical domain. We compared the usability (ease of integration, speed, trainability) and performance of six state-of-the-art chunkers for the biomedical domain, and combined the chunker results in order to improve chunking performance. We investigated six frequently used chunkers: ...
Tópico(s): Biomedical Text Mining and Ontologies
2010 - Elsevier BV | Journal of Biomedical Informatics
Kristina Hettne, Erik M. van Mulligen, Martijn J. Schuemie, Bob J.A. Schijvenaars, Jan A. Kors,
Identification of terms is essential for biomedical text mining.. We concentrate here on the use of vocabularies for term identification, specifically the Unified Medical Language System (UMLS). To make the UMLS more suitable for biomedical text mining we implemented and evaluated nine term rewrite and eight term suppression rules. The rules rely on UMLS properties that have been identified in previous work by others, together with an additional set of new properties discovered by our group during ...
Tópico(s): Natural Language Processing Techniques
2010 - BioMed Central | Journal of Biomedical Semantics
Dietrich Rebholz‐Schuhmann, Antonio Jimeno Yepes, Erik M. van Mulligen, Kang Ning, Jan A. Kors, David Milward, Peter Corbett, Ekaterina Buyko, Katrin Tomanek, Elena Beißwanger, Udo Hahn,
Tópico(s): linguistics and terminology studies
2010 - Springer Science+Business Media | Language Resources and Evaluation
Dietrich Rebholz‐Schuhmann, Antonio Jimeno Yepes, Erik M. van Mulligen, Kang Ning, Jan A. Kors, David Milward, Peter Corbett, Ekaterina Buyko, Elena Beißwanger, Udo Hahn,
The CALBC initiative aims to provide a large-scale biomedical text corpus that contains semantic annotations for named entities of different kinds. The generation of this corpus requires that the annotations from different automatic annotation systems be harmonized. In the first phase, the annotation systems from five participants (EMBL-EBI, EMC Rotterdam, NLM, JULIE Lab Jena, and Linguamatics) were gathered. All annotations were delivered in a common annotation format that included concept identifiers ...
Tópico(s): Bioinformatics and Genomic Networks
2010 - Imperial College Press | Journal of Bioinformatics and Computational Biology
Kristina Hettne, Antony Williams, Erik M. van Mulligen, Jos Kleinjans, Valery Tkachenko, Jan A. Kors,
Previously, we developed a combined dictionary dubbed Chemlist for the identification of small molecules and drugs in text based on a number of publicly available databases and tested it on an annotated corpus. To achieve an acceptable recall and precision we used a number of automatic and semi-automatic processing steps together with disambiguation rules. However, it remained to be investigated which impact an extensive manual curation of a multi-source chemical dictionary would have on chemical ...
Tópico(s): Advanced Text Analysis Techniques
2010 - BioMed Central | Journal of Cheminformatics
Kristina Hettne, Marissa de Mos, Anke GJ de Bruijn, Marc Weeber, Scott Boyer, Erik M. van Mulligen, Montserrat Cases, Jordi Mestres, Johan van der Lei,
Collaborative efforts of physicians and basic scientists are often necessary in the investigation of complex disorders. Difficulties can arise, however, when large amounts of information need to reviewed. Advanced information retrieval can be beneficial in combining and reviewing data obtained from the various scientific fields. In this paper, a team of investigators with varying backgrounds has applied advanced information retrieval methods, in the form of text mining and entity relationship tools, ...
Tópico(s): Fibromyalgia and Chronic Fatigue Syndrome Research
2007 - BioMed Central | Journal of Biomedical Discovery and Collaboration
J.Y. Bansard, Dietrich Rebholz‐Schuhmann, Graham Cameron, Dominic A. Clark, Erik M. van Mulligen, Francesco Beltrame, Eva Del Hoyo Barbolla, Fernando Martín-Sánchez, Luciano Milanesi, Ioannis G. Tollis, Johan van der Lei, Jean-Louis Coatrieux,
This paper reports on an analysis of the bioinformatics and medical informatics literature with the objective to identify upcoming trends that are shared among both research fields to derive benefits from potential collaborative initiatives for their future. Our results present the main characteristics of the two fields and show that these domains are still relatively separated
Tópico(s): Gene expression and cancer classification
2007 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Information Technology in Biomedicine
Dietrich Rebholz-Schuhman, Graham Cameron, Dominic A. Clark, Erik M. van Mulligen, Jean-Louis Coatrieux, Eva Del Hoyo Barbolla, Fernando Martín-Sánchez, Luciano Milanesi, Ivan Porro, Francesco Beltrame, Ioannis G. Tollis, Johan van der Lei,
The SYMBIOmatics Specific Support Action (SSA) is "an information gathering and dissemination activity" that seeks "to identify synergies between the bioinformatics and the medical informatics" domain to improve collaborative progress between both domains (ref. to http://www.symbiomatics.org ). As part of the project experts in both research fields will be identified and approached through a survey. To provide input to the survey, the scientific literature was analysed to extract topics relevant to both ...
Tópico(s): Bioinformatics and Genomic Networks
2007 - BioMed Central | BMC Bioinformatics
Rob Jelier, Martijn J. Schuemie, Peter‐Jan Roes, Erik M. van Mulligen, Jan A. Kors,
Text-mining has been used to link biomedical concepts, such as genes or biological processes, to each other for annotation purposes or the generation of new hypotheses. To relate two concepts to each other several authors have used the vector space model, as vectors can be compared efficiently and transparently. Using this model, a concept is characterized by a list of associated concepts, together with weights that indicate the strength of the association. The associated concepts in the vectors ...
Tópico(s): Gene expression and cancer classification
2007 - Elsevier BV | International Journal of Medical Informatics
Erik M. van Mulligen, Montserrat Cases, Kristina Hettne, Eva Molero, Marc Weeber, Kathryn Robertson, Baldomero Oliva, Guillermo de la Calle, V. Maojo,
Objective: The European INFOBIOMED Network of Excellence1 recognized that a successful education program in biomedical informatics should include not only traditional teaching activities in the basic sciences but also the development of skills for working in multidisciplinary teams. Design: A carefully developed 3-year training program for biomedical informatics students addressed these educational aspects through the following four activities: (1) an internet course database containing an overview ...
Tópico(s): E-Learning and Knowledge Management
2007 - Oxford University Press | Journal of the American Medical Informatics Association
Barend Mons, Herman van Haagen, Christine Chichester, Peter A.C. ‘t Hoen, Johan T. den Dunnen, Gert‐Jan B. van Ommen, Erik M. van Mulligen, Bharat Bhushan Singh, Rob Hooft, Marco Roos, Joel Hammond, Bruce Kiesel, Belinda Giardine, Jan Velterop, Paul Groth, Erik Schultes,
Data citation and the derivation of semantic constructs directly from datasets have now both found their place in scientific communication. The social challenge facing us is to maintain the value of traditional narrative publications and their relationship to the datasets they report upon while at the same time developing appropriate metrics for citation of data and data constructs.
Tópico(s): Genetics, Bioinformatics, and Biomedical Research
2011 - Nature Portfolio | Nature Genetics
Dietrich Rebholz‐Schuhmann, Antonio Jimeno Yepes, Chen Li, Şenay Kafkas, Ian Lewin, Kang Ning, Peter Corbett, David Milward, Ekaterina Buyko, Elena Beißwanger, Kerstin Hornbostel, Alexandre Kouznetsov, René Witte, Jonas Bergman Laurila, Christopher J. O. Baker, Cheng-Ju Kuo, Simon Clematide, Fabio Rinaldi, Richárd Farkas, György Móra, Kazuo Hara, Laura I. Furlong, Michael Rautschka, Mariana Neves, Alberto Pascual-Montano, Qi Wei, Nigel Collier, Md Minhaz Chowdhury, Alberto Lavelli, Rafael Berlanga, Roser Morante, Vincent Van Asch, Walter Daelemans, José Luís Marina, Erik M. van Mulligen, Jan A. Kors, Udo Hahn,
Competitions in text mining have been used to measure the performance of automatic text processing solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is time-consuming and costly and the final corpus consists at the most of a few thousand documents annotated with a limited set of semantic groups. To overcome these shortcomings, the CALBC project partners (PPs) have produced a large-scale annotated biomedical corpus with four different semantic groups through ...
Tópico(s): Semantic Web and Ontologies
2011 - BioMed Central | Journal of Biomedical Semantics
Paul L. Crawford, Bernard Vogl,
... specific discussion of PPPs, see Vermande and Van Mulligen Citation(1999). 7. The direct comparison, unit price ...
Tópico(s): Construction Project Management and Performance
2006 - Taylor & Francis | Building Research & Information
Kang Ning, Zubair Afzal, Bharat Singh, Erik M. van Mulligen, Jan A. Kors,
Recognition of medical concepts is a basic step in information extraction from clinical records. We wished to improve on the performance of a variety of concept recognition systems by combining their individual results. We selected two dictionary-based systems and five statistical-based systems that were trained to annotate medical problems, tests, and treatments in clinical records. Manually annotated clinical records for training and testing were made available through the 2010 i2b2/VA (Informatics ...
Tópico(s): Machine Learning in Healthcare
2012 - Elsevier BV | Journal of Biomedical Informatics
José Luís Oliveira, Pedro Lopes, Tiago Nunes, David Campos, Scott Boyer, Ernst Ahlberg, Erik M. van Mulligen, Jan A. Kors, Bharat Singh, Laura I. Furlong, Ferrán Sanz, Anna Bauer‐Mehren, Maria C. Carrascosa, Jordi Mestres, Paul Avillach, Gayo Diallo, Carlos Díaz Acedo, Johan van der Lei,
ABSTRACT Purpose Pharmacovigilance methods have advanced greatly during the last decades, making post‐market drug assessment an essential drug evaluation component. These methods mainly rely on the use of spontaneous reporting systems and health information databases to collect expertise from huge amounts of real‐world reports. The EU‐ADR Web Platform was built to further facilitate accessing, monitoring and exploring these data, enabling an in‐depth analysis of adverse drug reactions risks. Methods ...
Tópico(s): Tuberculosis Research and Epidemiology
2012 - Wiley | Pharmacoepidemiology and Drug Safety
Kang Ning, Bharat Singh, Zubair Afzal, Erik M. van Mulligen, Jan A. Kors,
Background and objective In order for computers to extract useful information from unstructured text, a concept normalization system is needed to link relevant concepts in a text to sources that contain further information about the concept. Popular concept normalization tools in the biomedical field are dictionary-based. In this study we investigate the usefulness of natural language processing (NLP) as an adjunct to dictionary-based concept normalization. Methods We compared the performance of ...
Tópico(s): Natural Language Processing Techniques
2012 - Oxford University Press | Journal of the American Medical Informatics Association
Kang Ning, Erik M. van Mulligen, Jan A. Kors,
To train chunkers in recognizing noun phrases and verb phrases in biomedical text, an annotated corpus is required. The creation of gold standard corpora (GSCs), however, is expensive and time-consuming. GSCs therefore tend to be small and to focus on specific subdomains, which limits their usefulness. We investigated the use of a silver standard corpus (SSC) that is automatically generated by combining the outputs of multiple chunking systems. We explored two use scenarios: one in which chunkers ...
Tópico(s): Biomedical Text Mining and Ontologies
2012 - BioMed Central | BMC Bioinformatics
George P. Patrinos, D.N. Cooper, Erik M. van Mulligen, Vassiliki Gkantouna, Giannis Tzimas, Zuotian Tatum, Erik Schultes, Marco Roos, Barend Mons,
The advances in bioinformatics required to annotate human genomic variants and to place them in public data repositories have not kept pace with their discovery. Moreover, a law of diminishing returns has begun to operate both in terms of data publication and submission. Although the continued deposition of such data in the public domain is essential to maximize both their scientific and clinical utility, rewards for data sharing are few, representing a serious practical impediment to data submission. ...
Tópico(s): Genomics and Rare Diseases
2012 - Wiley | Human Mutation