Identifying definite patterns of unmet needs in patients with multiple sclerosis using unsupervised machine learning.

Elisabetta MaidaGianmarco AbbadessaEleonora CoccoPaola ValentinoAnnalaura LeredeJessica FrauGiuseppina MieleFloriana BileMarco VercellinoFrancesco PattiGiovanna BorrielloPaola CavallaMaddalena SparacoLuigi LavorgnaSimona Bonavita

Published in: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology (2024)

Our study identified four unmet need patterns among PwMS, emphasizing the importance of personalized care. While clinical and demographic factors provide some insight, additional variables warrant further investigation to fully understand unmet needs in PwMS.

Keyphrases

machine learning
healthcare
palliative care
artificial intelligence
big data
quality improvement
deep learning
pain management