Author:
Abedjan Ziawasch,Boujemaa Nozha,Campbell Stuart,Casla Patricia,Chatterjea Supriyo,Consoli Sergio,Costa-Soria Cristobal,Czech Paul,Despenic Marija,Garattini Chiara,Hamelinck Dirk,Heinrich Adrienne,Kraaij Wessel,Kustra Jacek,Lojo Aizea,Sanchez Marga Martin,Mayer Miguel A.,Melideo Matteo,Menasalvas Ernestina,Aarestrup Frank Moller,Artigot Elvira Narro,Petković Milan,Recupero Diego Reforgiato,Gonzalez Alejandro Rodriguez,Kerremans Gisele Roesems,Roller Roland,Romao Mario,Ruping Stefan,Sasaki Felix,Spek Wouter,Stojanovic Nenad,Thoms Jack,Vasiljevs Andrejs,Verachtert Wilfried,Wuyts Roel
Publisher
Springer International Publishing
Reference63 articles.
1. A third of European hospitals report operating losses, according to Accenture nine-country study. https://newsroom.accenture.com/industries/health-public-service/a-third-of-european-hospitals-report-operating-losses-according-to-accenture-nine-country-study.htm
2. Aronson, A.R.: Effective mapping of biomedical text to the UMLS metathesaurus: the MetaMap program. In: Proceedings of the AMIA Symposium, p. 17. American Medical Informatics Association, Bethesda (2001)
3. Atzeni, M., Recupero, D.R.: Deep learning and sentiment analysis for human-robot interaction. In: The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018 Satellite Events, Heraklion, Crete, June 3–7, 2018. Revised Selected Papers, pp. 14–18 (2018)
4. Auffray, C., et al.: Making sense of big data in health research: towards an eu action plan. Genome Med. 8, 71 (2016)
5. Baro, E., Degoul, S., Beuscart, R., Chazard, E.: Toward a literature-driven definition of big data in healthcare. BioMed. Res. Int. 2015, 639021 (2015)