Stefania Rubrichi
Stefania Rubrichi
Orange Labs/SENSE, Paris
Verified email at orange.com
Title
Cited by
Cited by
Year
Population mobility reductions during COVID-19 epidemic in France under lockdown
G Pullano, E Valdano, N Scarpa, S Rubrichi, V Colizza
MedRxiv, 2020
462020
Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study
G Pullano, E Valdano, N Scarpa, S Rubrichi, V Colizza
The Lancet Digital Health 2 (12), e638-e649, 2020
412020
From decision to shared-decision: Introducing patients’ preferences into clinical decision analysis
L Sacchi, S Rubrichi, C Rognoni, S Panzarasa, E Parimbelli, A Mazzanti, ...
Artificial intelligence in medicine 65 (1), 19-28, 2015
322015
Summary of Product Characteristics content extraction for a safe drugs usage
S Rubrichi, S Quaglini
Journal of Biomedical Informatics 45 (2), 231-239, 2012
282012
Adding docetaxel to cisplatin and fluorouracil in patients with unresectable head and neck cancer: a cost–utility analysis
NL Liberato, C Rognoni, S Rubrichi, S Quaglini, M Marchetti, T Gorlia, ...
Annals of oncology 23 (7), 1825-1832, 2012
212012
A system for the extraction and representation of summary of product characteristics content
S Rubrichi, S Quaglini, A Spengler, P Russo, P Gallinari
Artificial intelligence in medicine 57 (2), 145-154, 2013
152013
Patients’ involvement in e-health services quality assessment: a system for the automatic interpretation of SMS-based patients’ feedback
S Rubrichi, A Battistotti, S Quaglini
Journal of biomedical informatics 51, 41-48, 2014
142014
UceWeb: a web-based collaborative tool for collecting and sharing quality of life data
E Parimbelli, L Sacchi, S Rubrichi, A Mazzanti, S Quaglini
Methods of information in medicine 54 (02), 156-163, 2015
132015
A comparison of spatial-based targeted disease mitigation strategies using mobile phone data
S Rubrichi, Z Smoreda, M Musolesi
EPJ Data Science 7, 1-15, 2018
10*2018
Graphical representation of life paths to better convey results of decision models to patients
S Rubrichi, C Rognoni, L Sacchi, E Parimbelli, C Napolitano, A Mazzanti, ...
Medical Decision Making 35 (3), 398-402, 2015
102015
META-GLARE: a meta-system for defining your own CIG system: Architecture and Acquisition
P Terenziani, A Bottrighi, I Lovotti, S Rubrichi
Workshop on Knowledge Representation for Health-Care Data, Processes and …, 2014
82014
From decision to shared-decision: introducing patients’ preferences in clinical decision analysis-a case study in thromboembolic risk prevention
L Sacchi, C Rognoni, S Rubrichi, S Panzarasa, S Quaglini
Conference on Artificial Intelligence in Medicine in Europe, 1-10, 2013
72013
META-GLARE: a meta-engine for executing computer interpretable guidelines
A Bottrighi, S Rubrichi, P Terenziani
Conference on Artificial Intelligence in Medicine in Europe, 37-50, 2015
62015
Population mobility reductions during COVID-19 epidemic in France under lockdown. medRxiv 2020
G Pullano, E Valdano, N Scarpa, S Rubrichi, V Colizza
Google Scholar, 2020
52020
Drug-Drug Interactions Discovery Based on CRFs, SVMs and Rule-Based Methods
S Rubrichi, M Gabetta, R Bellazzi, C Larizza, S Quaglini
Drug-Drug Interaction Extraction., 67, 2011
32011
Special issue on mining big data in biomedicine and health care
S Fodeh, Q Zeng
J Biomed Inform 51, 1-2, 2014
22014
Highlighting socio-economic constraints on mobility reductions during COVID-19 restrictions in France can inform effective and equitable pandemic response
E Valdano, J Lee, S Bansal, S Rubrichi, V Colizza
Journal of travel medicine, 2021
12021
Information extraction from SMS text related to a reminder service for outpatients.
S Rubrichi, SE Ndam, A Battistotti, S Quaglini
MIE, 240-244, 2012
12012
Extracting information from summary of product characteristics for improving drugs prescription safety
S Rubrichi, S Quaglini, A Spengler, P Gallinari
Conference on Artificial Intelligence in Medicine in Europe, 327-337, 2011
12011
Preventing adverse drug events by extracting information from drug fact sheets.
S Rubrichi, A Spengler, P Gallinari, S Quaglini
Semantic Mining in Biomedicine 714, 2010
12010
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