Zobrazeno 1 - 10
of 208
pro vyhledávání: '"Carlo Combi"'
Autor:
Salvatore Crisafulli, Andrea Fontana, Luca L’Abbate, Giacomo Vitturi, Alessia Cozzolino, Daniele Gianfrilli, Maria Cristina De Martino, Beatrice Amico, Carlo Combi, Gianluca Trifirò
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Acromegaly is a rare disease characterized by a diagnostic delay ranging from 5 to 10 years from the symptoms’ onset. The aim of this study was to develop and internally validate machine-learning algorithms to identify a combination of var
Externí odkaz:
https://doaj.org/article/7d218663f4484a89a136630ff42cfb24
Autor:
Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang
Publikováno v:
Journal of Healthcare Informatics Research.
In 2020, the pandemic spread worldwide in an unexpected way and suddenly modified many life issues, including social habits, social relationships, teaching modalities, and more. Such changes were also observable in many different healthcare and medic
Publikováno v:
2022 IEEE World Congress on Services (SERVICES).
Acute Kidney Injury Prediction with Gradient Boosting Decision Trees enriched with Temporal Features
Publikováno v:
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI).
Autor:
Beatrice Amico, Carlo Combi
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783031093418
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d0fbd1ae9bf394ec53d56619592fb89
http://hdl.handle.net/11562/1073573
http://hdl.handle.net/11562/1073573
Autor:
Carlo Combi, Beatrice Amico, Riccardo Bellazzi, Andreas Holzinger, Jason H. Moore, Marinka Zitnik, John H. Holmes
Publikováno v:
Artificial Intelligence in Medicine
The rapid increase of interest in, and use of, artificial intelligence (AI) in computer applications has raised a parallel concern about its ability (or lack thereof) to provide understandable, or explainable, output to users. This concern is especia
Autor:
Carlo Combi, Roberto Posenato
A Flexible Simple Temporal Network with Uncertainty (FTNU) represents temporal constraints between time-points. Time-points are variables that must be set (executed) satisfying all the constraints. Some time-points are contingent. It means that they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5a49eccc9604dd0c4262f8cc1dd17e
http://hdl.handle.net/11562/1052937
http://hdl.handle.net/11562/1052937
In the field of Business Process Management (BPM), modeling business processes and related data is a critical issue since process activities need to manage data stored in databases. The connection between processes and data is usually handled at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcc4a92029e2bdc9bd2323f58751bdee
http://www.alexandria.unisg.ch/263454/
http://www.alexandria.unisg.ch/263454/