10 citations · 12 across the 2 of their papers we have counts for
6 papers
Probabilistic Causal Analysis of Social Influence
Francesco Bonchi, Francesco Gullo, Bud Mishra +1
Mastering the dynamics of social influence requires separating, in a database of information propagation traces, the genuine causal processes from temporal correlation, i.e., homop…
Improved survival of cancer patients admitted to the ICU between 2002 and 2011 at a U.S. teaching hospital
Chris Sauer, Jinghui Dong, Leo Celi +1
Over the past decades, both critical care and cancer care have improved substantially. Due to increased cancer-specific survival, we hypothesized that both the number of cancer pat…
Withholding or withdrawing invasive interventions may not accelerate time to death among dying ICU patients
Daniele Ramazzotti, Peter Clardy, Leo Anthony Celi +2
We considered observational data available from the MIMIC-III open-access ICU database and collected within a study period between year 2002 up to 2011. If a patient had multiple a…
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process…
Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models
Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga +2
The emergence and development of cancer is a consequence of the accumulation over time of genomic mutations involving a specific set of genes, which provides the cancer clones with…
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution
Daniele Ramazzotti
Recently, there has been a resurgence of interest in rigorous algorithms for the inference of cancer progression from genomic data. The motivations are manifold: (i) growing NGS an…