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Upcoming Events

3rd International Forum on

Research and Technologies for Society and Industry "Innovation to shape the future"


Modena, Italy, 11-13 Sep. 2017

Organized by the IEEE Italy Section and University of Modena and Reggio Emilia, Italy


Special Session on

"Advances in Medical Informatics for Health Care Applications"

Important Dates

Paper submission: April 10, 2017 May 5, 2017 Paper Decision notification: June 10, 2017 Camera-ready final submission: June 30, 2017 Early Registration: July 10, 2017 Conference Dates: September 11-13, 2017



Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics:

  • Analysis and visualization of large data sets in Biomedicine
  • Biomedical Applications
  • Biomedical data modelling and mining
  • Brain computer interface
  • Clinical Information Systems Data Integration in Biomedicine
  • Decision Making in Biomedicine
  • Decision support systems
  • Education and training
  • Electronic prescription - computerized provider order entry
  • Healthcare data models - data integration
  • Healthcare data quality
  • Healthcare processes: representation and mining
  • High-throughput data analysis
  • Homecare systems and IOT in healthcare
  • Human factors in system design and development
  • Imaging informatics
  • Informatics for healthy aging
  • Information extraction - Natural language processing
  • Management of clinical trials
  • Medicine and health informatics
  • Mobile health - Patient's reported outcomes
  • Modelling and simulation
  • Models for economic evaluations in healthcare
  • Nursing informatics
  • Ontologies and terminologies
  • Open data
  • Pathology networks management systems
  • Point-of-care services
  • Precision medicine
  • Privacy – Security
  • Robotics
  • Shared decision making
  • Statistical models and data mining
  • Telemedicine systems
  • Translational bioinformatics
Invited speaker

Prof. Riccardo Bellazzi, University of Pavia


Patients' data are actually obtainable not only from information collected in healthcare settings (i.e., Electronic Medical Records, Radiological Information Systems, molecular laboratory tests), but also from information gathered in outpatient settings. Signals may be collected from wearable or environmental sensors, patient-reported outcomes come from mobile applications, and useful scores (such as quality of life indices) from online questionnaires. Finally, a lot of information is contained in free text documents such as discharge letters, visit reports, etc.. Mostly "omics", free text documents and continuous patient's monitoring contribute to dramatically increase the amount of data potentially available for analysis. This impinge on (1) the utilization of big data tools for proper data management, including multiple source integration and data quality control; (2) advanced analytics for their proper interpretation; (3) appropriate visualization tools for delivering the correct messages to the different stakeholders. Technological solutions may be devised at multiple levels. At the individual level, there is the possibility of reconstructing a patient's history much more accurately than in the past. Case-based reasoning may exploit much more features allowing to allocate the patient within a cluster of similar patients and make more accurate predictions about treatment effect and disease progression. At an organisational level, a correct exploitation of all the available data can lead to new models for healthcare institutions, pushing towards the concept of "learning organizations". To this purpose, process mining techniques can be used to mine actual organisational processes, compare them with expected ones, and suggest solutions for their improvement. At a knowledge level, formalisms for medical knowledge representation, used for delivering computer-interpretable clinical practice guidelines, could be coupled with tools that automatically discover new knowledge from data, allowing to speed-up the process of guidelines update. The aim of the session is to promote discussion on original solutions to handle these new concepts of the medical informatics.


  • Big data
  • Clinical practice guidelines
  • Computational intelligence
  • Decision trees and random forests
  • Deep learning
  • Data integration
  • Data mining
  • Data visualization
  • Information extraction
  • Machine and statistical learning
  • Medical signal, imaging processing and pattern recognition
  • Medicine and health informatics
  • Natural language processing
  • Process mining

More Informations

The special session on "Advances in Medical Informatics for Health Care Applications" is soliciting high quality papers of original research and application papers. Manuscripts should be prepared according to the standard format and page limit of regular papers specified in the 3rd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow website. All papers will be rigorously reviewed by at least two reviewers. The special session is jointly organized by the IEEE Italy Computational Intelligence - CIS11 and Engineering in Medicine & Biology - EMB18 Chapters.

Further information about "3rd International Forum on Research and Technologies for Society and Industry" can be found here.


Prof. Silvia Quaglini, Dipartimento di Ingegneria Industriale e dell'Informazione, Università degli Studi di Pavia, Pavia, Italy

Prof. Roberto Tagliaferri, Dipartimento di Scienze Aziendali - Management & Innovation Systems/DISA-MIS, Università di Salerno, Fisciano (Sa), Italy

Scientific organizing Committee Members:

Prof. Anna Maria Bianchi, Department of Electronics, Information and Bioengineering, Politecnico di Milano

Prof. Fabrizio Esposito, Dipartimento di Medicina e Chirurgia, Università di Salerno, Fisciano (Sa), Italy

Prof. John Holmes, Department: Biostatistics and Epidemiology, University of Pennsilvania, Philadelphia, USA

Dr. Nadia Mammone, IRCCS centro Neurolesi Messina, Italy

Prof. Francesco Masulli, Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi/DIBRIS Università di Genova, Genova, Italy

Prof. Stefania Montani, DISIT, University of Piemonte Orientale, Alessandria, Italy.

Prof.Carlo Francesco Morabito, Dipartimento DICEAM, Università Mediterranea di Reggio Calabria, Italy

Prof. Niels Peek, Division of Informatics, Imaging & Data Sciences, University of Manchester, UK

Prof. Mor Peleg, Department of Information Systems, Haifa University, Israel

Prof. Yuval Shahar, Department of Information Systems Engineering, Ben Gurion University, Beer Sheva, Israel