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pro vyhledávání: '"Romacker M"'
Autor:
De Meulder, B., Lefaudeux, D., Bansal, A. T., Mazein, A., Chaiboonchoe, A., Ahmed, H., Balaur, I., Saqi, M., Pellet, J., Ballereau, S., Lemonnier, N., Sun, K., Pandis, I., Yang, X., Batuwitage, M., Kretsos, K., van Eyll, J., Bedding, A., Davison, T., Dodson, P., Larminie, C., Postle, A., Corfield, J., Djukanovic, R., Chung, K. F., Adcock, I. M., Guo, Y. -K., Sterk, P. J., Manta, A., Rowe, A., Baribaud, F., Auffray, C., Gibeon, D., Hoda, U., Kuo, S., Meah, S., Meiser, A., Fleming, L. J., Hu, S., Pavlidis, S., Rossios, C., Russel, K., Wiegman, C., Nezhad, A. T., Oehmichen, A., O'Malley, D., Guitton, F., Emam, I., Agapow, P., Rice, P., Miles, S., Elyasigomari, V., Bel, E., Brinkman, P., Dekker, T., Dijkhuis, A., Hashimoto, S., Hekking, P. -P., Lone-Latif, S., Lutter, R., Ravanetti, L., Smids, B., van Aalderen, W., van de Pol, M., van Drunen, K., van Drunen, M., Wagener, A., Zwinderman, K., Adriaens, N., Carusi, A. M., Richard, F., Nogueira, M. M., Taibi, N., Brasier, O., Aliprantis, A., Alving, K., Faulenbach, C., Braun, A., Hohlfeld, J., Krug, N., Badorrek, P., Bakke, P., Berglind, A., Chaleckis, R., Dahlen, B., Delin, I., Gallart, H., Gomez, C., Hedlin, G., Henriksson, E., James, A. J., Kolmert, J., Konradsen, J., Kupczyk, M., Lantz, A. -S., Lazarinis, L., Mathon, C., Middelveld, R., Naz, S., Nordlund, B., Petren, A., Reinke, S., Sjodin, M., Soderman, P., Strandberg, K., Wheelock, C. E., Zetterquist, W., Balgoma, D., Brandsma, J., Burg, D., Dennison, P., Nicholas, B., Schofield, J. P. R., Skipp, P. J., Staykova, D., Tariq, K., Ward, J., Wilson, S. J., Barber, C., Loza, M. J., Bautmans, A., Sandstrom, T., Behndig, A. F., De Alba, J., Beleta, J., Berton, A., de Verdier, M. G., Nihlen, U., Ostling, J., Dalentoft, T., Lindgren, E., Boedigheimer, M. J., Hu, R., Hu, X., Yu, W., Bigler, J., Bonnelykke, K., Thorsen, J., Vising, N., Bisgaard, H., Bochenek, G., Caruso, M., Emma, R., Campagna, D., Thornton, B., Carayannopoulos, L., Gent, J., Manzies-Gow, A., Sogbesan, A., da Purificacao Rocha, P. C., Pedro, J., Chanez, P., Edwards, J., Flood, B., Hudson, V., Kennington, E. J., Metcalf, L., Rahman-Amin, M., Reynolds, L., Roberts, A., Smith, J., Supple, D., Versnel, J., Walker, S., Coleman, C., Hasan, S., Compton, C., Myles, D., Riley, J., Sousa, A. R., Yeyasingham, E., Pennazza, G., Santoninco, M., D'Amico, A., Dahlen, S. -E., de Boer, P., Robberechts, M., De Lepeleire, I., Fitch, N., Garret, T., Wagers, S., Draper, A., Thorngren, J. -O., Ericsson, M., Erpenbeck, V., Kluglich, M., Nething, K., Riemann, K., Schoelch, C., Seibold, W., Sigmund, R., Wald, F., Wetzel, K., Fichtner, K., Erzen, D., Galffy, G., Horvath, I., Szentkereszty, M., Tamasi, L., Fowler, S. J., Krueger, L., Singer, F., Frey, U., Gahlemann, M., Geiser, T., Hewitt, L., Howarth, P., Marouzet, L., Martin, J., Pink, S., Ray, E., Roberts, G., Smith, C., Gove, K., Gozzard, N., Williams, S., Haughney, J., Higgenbottam, T., Matthews, J. G., Holweg, C., Rutgers, M., Kamphuis, J., Kerry, D., Vink, A., Knobel, H., Knowles, R., Shaw, D. E., Smith, K. M., Know, A., Kots, M., Lambrecht, B., Masefield, S., Nilsson, P., Mikus, M., Miralpeix, M., Monk, P., Mores, N., Valente, S., Montuschi, P., Murray, C. S., Musial, J., Pacino, A., Pahus, L., Palkonen, S., Powel, P., Rao, N., Santini, G., Vestbo, J., von Garnier, C., Weiszhart, Z., Woodcock, A., Biryukov, M., Schneider, R., Herzinger, S., Satagopam, V., Gu, W., da Silva, A. B., Tielmann, A., Bergeron, J., Gaudette, A., Silberberg, A., Henderson, D., Hayat, S., Elefsinioti, A., Moltzen, E. K., Harbo, I. S., Birgitte, J., Bratfalean, D., Houston, P., Kisler, B., Capdevila, F. B., Verbeeck, D., Marchetti, G., Rahal, G., Schuermann, H. D., Mazuranok, L., Hendlich, M., Painell'S, L., Marren, D., Martasek, J., Rimell, J., Romacker, M., Braxenthaler, M., Sansone, S. -A., Rocca-Serra, P.
Publikováno v:
BMC Systems Biology, Vol 12, Iss 1, Pp 1-23 (2018)
BMC systems biology, 12(1):60. BioMed Central
U-BIOPRED Study Group, eTRIKS Consortium, Fowler, S J, Murray, C S, Vestbo, J & Woodcock, A 2018, ' A computational framework for complex disease stratification from multiple large-scale datasets ', BMC Systems Biology, vol. 12, no. 1, 60 . https://doi.org/10.1186/s12918-018-0556-z
BMC Systems Biology
BMC systems biology, 12(1):60. BioMed Central
U-BIOPRED Study Group, eTRIKS Consortium, Fowler, S J, Murray, C S, Vestbo, J & Woodcock, A 2018, ' A computational framework for complex disease stratification from multiple large-scale datasets ', BMC Systems Biology, vol. 12, no. 1, 60 . https://doi.org/10.1186/s12918-018-0556-z
BMC Systems Biology
Background Multilevel data integration is becoming a major area of research in systems biology. Within this area, multi-‘omics datasets on complex diseases are becoming more readily available and there is a need to set standards and good practices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f49c9633bc4b438a415eff77152a36a
http://hdl.handle.net/10044/1/60119
http://hdl.handle.net/10044/1/60119
Although spatial relations are essential for the anatomy domain, spatial reasoning is only weakly supported by medical knowledge representation systems. To remedy this shortcoming we express spatial relations that can intuitively be applied to anatom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fad70a4e3fb8b396ffa09f8ba93b8317
https://europepmc.org/articles/PMC2243803/
https://europepmc.org/articles/PMC2243803/
The development of powerful and comprehensive medical ontologies that support formal reasoning on a large scale is one of the key requirements for clinical computing in the next millennium. Taxonomic medical knowledge, a major portion of these ontolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bfef539fe3a6acc432319fc5852dcfb5
https://europepmc.org/articles/PMC2232338/
https://europepmc.org/articles/PMC2232338/
Autor:
Hahn, U., Romacker, M.
We consider the role of textual structures in medical texts. In particular, we examine the impact the lacking recognition of text phenomena has on the validity of medical knowledge bases fed by a natural language understanding front-end. First, we re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0f01397eb8e3f6585ed6a7bef9e2f744
https://europepmc.org/articles/PMC2233262/
https://europepmc.org/articles/PMC2233262/
An approach to knowledge-based understanding of realistic texts from the medical domain (viz. findings of gastro-intestinal diseases) is presented. We survey major methodological features of an object-oriented, fully lexicalized, dependency-based gra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::eae2b1e81fef7bc1422afe3e2714da3b
https://europepmc.org/articles/PMC2232954/
https://europepmc.org/articles/PMC2232954/
Publikováno v:
2008 IEEE International Conference on Semantic Computing; 2008, p230-237, 8p
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