165 citations · 230 across the 6 of their papers we have counts for
7 papers
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi +14
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disp…
IASIS and BigMedilytics: Towards personalized medicine in Europe
Ernestina Menasalvas Ruiz, Alejandro Rodríguez-González, Consuelo Gonzalo Martín +7
One field of application of Big Data and Artificial Intelligence that is receiving increasing attention is the biomedical domain. The huge volume of data that is customary generate…
Profiling lung cancer patients using electronic health records
Ernestina Menasalvas Ruiz, Juan Manuel Tuñas, Guzmán Bermejo +10
If Electronic Health Records contain a large amount of information about the patients condition and response to treatment, which can potentially revolutionize the clinical practice…
Lung Cancer Concept Annotation from Spanish Clinical Narratives
Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez-González +1
Recent rapid increase in the generation of clinical data and rapid development of computational science make us able to extract new insights from massive datasets in healthcare ind…
Evaluating Wikipedia as a source of information for disease understanding
Eduardo P. Garcia del Valle, Gerardo Lagunes Garcia, Lucia Prieto Santamaria +3
The increasing availability of biological data is improving our understanding of diseases and providing new insight into their underlying relationships. Thanks to the improvements…
From the difference of structures to the structure of the difference
Massimiliano Zanin, Ernestina Menasalvas, Xiaoqian Sun +1
When dealing with evolving or multi-dimensional complex systems, network theory provides with elegant ways of describing their constituting components, through respectively time-va…
Combining complex networks and data mining: why and how
M. Zanin, D. Papo, P. A. Sousa +4
The increasing power of computer technology does not dispense with the need to extract meaningful in- formation out of data sets of ever growing size, and indeed typically exacerba…