Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol

Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol

(1) Objective: We explore the predictive power of a novel stream of patient data, combining wearable devices and patient reported outcomes (PROs), using an AI-first approach to classify the health status of Parkinson’s disease (PD), multiple sclerosis (MS) and stroke patients (collectively named PMS...

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Bibliographic Details
Main Authors: Alexandru Sorici, Lidia Băjenaru, Irina Georgiana Mocanu, Adina Magda Florea, Panagiotis Tsakanikas, Athena Cristina Ribigan, Ludovico Pedullà, Anastasia Bougea
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Healthcare
Subjects:
PD
MS
stroke
patient reported outcomes
wearables
quantitative motor analysis
Online Access:https://www.mdpi.com/2227-9032/11/19/2656

Internet

https://www.mdpi.com/2227-9032/11/19/2656

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