PONZIO , Michela

In this work we present a machine learning pipeline for the detection of multiple sclerosis course from a collection of inexpensive and non-invasive measures such as clinical scales and patient-reported outcomes. The proposed analysis is conducted on a dataset coming from a clinical study comprising 457 patients affected by multiple sclerosis....

The objective of the study was to describe and analyze the stigma, discrimination and the disclosure of the diagnosis of Multiple Sclerosis (MS) in the workplace. The protocol was registered in PROSPERO (CRD42022320437). We systematically searched four scientific databases with key search terms. We included any original peer-reviewed articles...

PurposeThis study identifies potential predictors of unemployment and describes specific work difficulties and their determinants in a subgroup of employed people with multiple sclerosis (PwMS). The specific work difficulties were evaluated using a validated tool that measures the impact of respondents' symptoms and of workplace...

We aimed to summarise the prevalence of unemployment and early retirement among people with MS and analyze data according to a spatio-temporal perspective.

Objectives To update the knowledge on the occupational outcomes associated with multiple sclerosis (MS), systematically examine the extent, scope and nature of the pre-existing literature and identify research gaps in the existing literature. Design Scoping review. Data sources A comprehensive database search of PubMed/MEDLINE, Scopus, SciVerse...