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Andrea Campagner

Showing results (11-20 of 34) with videos related to

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BMC Medical Informatics and Decision Making|August 22, 2020
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settingsAndrea Seveso, Andrea Campagner, Davide Ciucci, et al.
BMC Medical Informatics and Decision Making|July 23, 2024
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measuresAndrea Campagner, Frida Milella, Giuseppe Banfi, et al.
Journal of Intelligence|April 30, 2021
Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in CardiologyLuca Ronzio, Andrea Campagner, Federico Cabitza, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 12, 2024
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series ClassificationAndrea Campagner, Marilia Barandas, Duarte Folgado, et al.
International Journal of Medical Informatics|July 2, 2025
Modeling unknowns: A vision for uncertainty-aware machine learning in healthcareAndrea Campagner, Elia Mario Biganzoli, Clara Balsano, et al.
Clinical Chemistry and Laboratory Medicine|August 1, 2021
The multicenter European Biological Variation Study (EuBIVAS): a new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurandsAnna Carobene, Andrea Campagner, Christian Uccheddu, et al.
Journal of Medical Systems|July 2, 2020
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility StudyDavide Brinati, Andrea Campagner, Davide Ferrari, et al.
Artificial Intelligence in Medicine|March 29, 2024
Never tell me the odds: Investigating pro-hoc explanations in medical decision makingFederico Cabitza, Chiara Natali, Lorenzo Famiglini, et al.
Computers in Biology and Medicine|June 23, 2020
Assessment and prediction of spine surgery invasiveness with machine learning techniquesAndrea Campagner, Pedro Berjano, Claudio Lamartina, et al.
Diagnostics (Basel, Switzerland)|March 29, 2023
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported OutcomesAndrea Campagner, Frida Milella, Stefania Guida, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
BMC Medical Informatics and Decision Making|August 22, 2020
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settingsAndrea Seveso, Andrea Campagner, Davide Ciucci, et al.
BMC Medical Informatics and Decision Making|July 23, 2024
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measuresAndrea Campagner, Frida Milella, Giuseppe Banfi, et al.
Journal of Intelligence|April 30, 2021
Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in CardiologyLuca Ronzio, Andrea Campagner, Federico Cabitza, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 12, 2024
Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series ClassificationAndrea Campagner, Marilia Barandas, Duarte Folgado, et al.
International Journal of Medical Informatics|July 2, 2025
Modeling unknowns: A vision for uncertainty-aware machine learning in healthcareAndrea Campagner, Elia Mario Biganzoli, Clara Balsano, et al.
Clinical Chemistry and Laboratory Medicine|August 1, 2021
The multicenter European Biological Variation Study (EuBIVAS): a new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurandsAnna Carobene, Andrea Campagner, Christian Uccheddu, et al.
Journal of Medical Systems|July 2, 2020
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility StudyDavide Brinati, Andrea Campagner, Davide Ferrari, et al.
Artificial Intelligence in Medicine|March 29, 2024
Never tell me the odds: Investigating pro-hoc explanations in medical decision makingFederico Cabitza, Chiara Natali, Lorenzo Famiglini, et al.
Computers in Biology and Medicine|June 23, 2020
Assessment and prediction of spine surgery invasiveness with machine learning techniquesAndrea Campagner, Pedro Berjano, Claudio Lamartina, et al.
Diagnostics (Basel, Switzerland)|March 29, 2023
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported OutcomesAndrea Campagner, Frida Milella, Stefania Guida, et al.
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