MILELLA, FRIDA

MILELLA, FRIDA  

DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE  

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Titolo Tipologia Data di pubblicazione Autori File
Can wearable technologies contribute to an age-friendly walkability environment? First insights from a systematic review of the literature 02 - Intervento a convegno 2024 Milella, FridaBandini, Stefania +
Fostering Artificial Intelligence-based supports for informal caregivers: a systematic review of the literature 01 - Articolo su rivista 2024 Milella, FridaBandini, Stefania
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures 01 - Articolo su rivista 2024 Campagner, AndreaMilella, FridaBanfi, GiuseppeCabitza, Federico
Three-way decision in machine learning tasks: a systematic review 01 - Articolo su rivista 2024 Campagner A.Milella F.Ciucci D.Cabitza F.
AI-Powered Solutions to Support Informal Caregivers in Their Decision-Making: A Systematic Review of the Literature 01 - Articolo su rivista 2023 Milella, FBandini S +
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 01 - Articolo su rivista 2023 Campagner A.Milella F.Cabitza F. +
How Artificial Intelligence can support informal caregivers in their caring duties to elderly? A systematic review of the literature 02 - Intervento a convegno 2023 Milella F.Bandini S. +
The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering 02 - Intervento a convegno 2023 Milella F.Natali C.Campagner A.Cabitza F. +
A parsimonious machine learning approach to detect inappropriate treatments in spine surgery on the basis of patient-reported outcomes 02 - Intervento a convegno 2022 Famiglini, LMilella, FCabitza, F +
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized Medicine 01 - Articolo su rivista 2022 Milella, FridaFamiglini, LorenzoBanfi, GiuseppeCabitza, Federico
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs) 01 - Articolo su rivista 2022 Milella, FridaSeveso, AndreaFamiglini, LorenzoBanfi, GiuseppeCabitza, Federico
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 data 01 - Articolo su rivista 2022 Milella, FridaFamiglini, LorenzoCabitza, Federico +
Change and innovation in healthcare: Findings from literature 01 - Articolo su rivista 2021 Milella F. +
COVIDIAGNOSTIX: Health technology assessment of serological tests for SARS-CoV-2 infection 01 - Articolo su rivista 2021 Milella F. +