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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Detalles Bibliográficos
Autores principales: Sorici, Alexandru, Băjenaru, Lidia, Mocanu, Irina Georgiana, Florea, Adina Magda, Tsakanikas, Panagiotis, Ribigan, Athena Cristina, Pedullà, Ludovico, Bougea, Anastasia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Study Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572511/
https://www.ncbi.nlm.nih.gov/pubmed/37830693
http://dx.doi.org/10.3390/healthcare11192656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572511/
https://www.ncbi.nlm.nih.gov/pubmed/37830693
http://dx.doi.org/10.3390/healthcare11192656

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