Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Lorenzo Famiglini

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Studies in Health Technology and Informatics|May 25, 2022
A Confidence Interval-Based Method for Classifier Re-CalibrationAndrea Campagner, Lorenzo Famiglini, Federico Cabitza
Medical & Biological Engineering & Computing|March 30, 2022
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patientsLorenzo Famiglini, Andrea Campagner, Anna Carobene, et al.
Journal of Personalized Medicine|October 27, 2022
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized MedicineFrida Milella, Lorenzo Famiglini, Giuseppe Banfi, et al.
Clinical Chemistry and Laboratory Medicine|May 4, 2022
How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory dataAnna Carobene, Frida Milella, Lorenzo Famiglini, et al.
Journal of Personalized Medicine|December 29, 2022
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)Frida Milella, Andrea Seveso, Lorenzo Famiglini, 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.
European Psychiatry : the Journal of the Association of European Psychiatrists|February 3, 2021
Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment AnalysisCristina Crocamo, Marco Viviani, Lorenzo Famiglini, et al.
Computers in Biology and Medicine|February 3, 2024
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systemsLorenzo Famiglini, Andrea Campagner, Marilia Barandas, et al.
Methods of Information in Medicine|June 3, 2025
Alternative Strategies to Generate Class Activation Maps Supporting AI-based Advice in Vertebral Fracture Detection in X-ray ImagesSamuele Pe, Lorenzo Famiglini, Enrico Gallazzi, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|May 25, 2022
A Confidence Interval-Based Method for Classifier Re-CalibrationAndrea Campagner, Lorenzo Famiglini, Federico Cabitza
Medical & Biological Engineering & Computing|March 30, 2022
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patientsLorenzo Famiglini, Andrea Campagner, Anna Carobene, et al.
Journal of Personalized Medicine|October 27, 2022
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized MedicineFrida Milella, Lorenzo Famiglini, Giuseppe Banfi, et al.
Clinical Chemistry and Laboratory Medicine|May 4, 2022
How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory dataAnna Carobene, Frida Milella, Lorenzo Famiglini, et al.
Journal of Personalized Medicine|December 29, 2022
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)Frida Milella, Andrea Seveso, Lorenzo Famiglini, 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.
European Psychiatry : the Journal of the Association of European Psychiatrists|February 3, 2021
Surveilling COVID-19 Emotional Contagion on Twitter by Sentiment AnalysisCristina Crocamo, Marco Viviani, Lorenzo Famiglini, et al.
Computers in Biology and Medicine|February 3, 2024
Evidence-based XAI: An empirical approach to design more effective and explainable decision support systemsLorenzo Famiglini, Andrea Campagner, Marilia Barandas, et al.
Methods of Information in Medicine|June 3, 2025
Alternative Strategies to Generate Class Activation Maps Supporting AI-based Advice in Vertebral Fracture Detection in X-ray ImagesSamuele Pe, Lorenzo Famiglini, Enrico Gallazzi, et al.
Pageof 1