3.1k citations · 4.9k across the 30 of their papers we have counts for
6 papers · 1 filter
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…
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…
Understanding diseases as increased heterogeneity: a complex network computational framework
Massimiliano Zanin, Juan Manuel Tuñas, Ernestina Menasalvas
Due to the complexity of the human body, most diseases present a high inter-personal variability in the way they manifest, i.e. in their phenotype, which has important clinical rep…
Topological structures are consistently overestimated in functional complex networks
Massimiliano Zanin, Seddik Belkoura, Javier Gomez +2
Functional complex networks have meant a pivotal change in the way we understand complex systems, being the most outstanding one the human brain. These networks have classically be…
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…