SMARTERCARE 2021
Towards Smarter Health Care: Can Artificial Intelligence Help?

Table of Contents

• Preface
  Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume, 7 as regular papers and 5 as short papers. However, the authors of one paper decided not to submit their contribution to the Proceedings.

Session 1

• Gene Selection for Cancer Diagnosis via Iterative Graph Clustering-Based Approach Communication 1-6
  Mehrdad Rostami, Mourad Oussalah
• From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data 7-18
  Aneta Lisowska, Szymon Wilk, Mor Peleg
• A Support for Understanding Medical Notes: Correcting Spelling Errors in Italian Clinical Records 19-28
  Roger Ferrod, Enrico Brunetti, Luigi Di Caro, Chiara Di Francescomarino, Mauro Dragoni, Chiara Ghidini, Renata Marinello, Emilio Sulis
• HeAL9000: an Intelligent Rehabilitation Robot 29-41
  Lorenzo Cristofori, Claudiu D. Hromei, Francesco Scotto di Luzio, Christian Tamantini, Francesca Cordella, Danilo Croce, Loredana Zollo, Roberto Basili
• Personality and Habit Formation: Is There a Link? 42-47
  Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg
• Leveraging Structured Data in Predictive Process Monitoring: the Case of the ICD-9-CM in the Scenario of the Home Hospitalization Service 48-60
  Roberto Aringhieri, Guido Boella, Enrico Brunetti, Luigi Di Caro, Chiara Di Francescomarino, Mauro Dragoni, Roger Ferrod, Chiara Ghidini, Renata Marinello, Massimiliano Ronzani, Emilio Sulis

Session 2

• Personalized Arterovenous Fistula Management through Utility Maximization with Influence Diagram 61-66
  Alessandro Bregoli, Luca Neri, Max Botler, Erik Schumacher, Ricardo Peralta, Pedro Ponce, Stefano Stuard, Francesco Bellocchio
• User-Centered Development of a Clinical Decision Support System 67-78
  Anna Kleinau, Alex Mo, Juliane Muller-Siela, Johanna M. A. Pijnenborg, Peter J. F. Lucas, Steffen Oeltze-Jafra
• ALFABETO: Supporting COVID-19 Hospital Admissions with Bayesian Networks 79-84
  Giovanna Nicora, Antonio Lo Tito, Antonella Donatelli, Giovanni Callea, Carla Biasibetti, Maria Vittoria Galli, Federico Comotto, Chandra Bortolotto, Stefano Perlini, Lorenzo Preda, Riccardo Bellazzi
• Decision Support System for Target Prostate Biopsy Outcome Prediction: Clustering and FP-Growth Algorithm for Fuzzy Rules Extraction 85-90
  Samanta Rosati, Noemi Giordano, Enrico Checcucci, Sabrina De Cillis, Francesco Porpiglia, Gabriella Balestra
• Congenital Heart Disease Detection Using Clinical Data and Auscultation Heart Sounds: a Machine Learning Approach 91-103
  Solange Belinha, Bruno Miguel Oliveira, Pedro Pereira Rodrigues