Context-agnostic machine learning for Parkinson’s disease motor symptom detection using wearable sensors

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2026-07-17
DOI
https://doi.org/10.1186/s12911-026-03665-0
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
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article

Context-agnostic machine learning for Parkinson’s disease motor symptom detection using wearable sensors

Ioanna Roussaki, Panagiοtis Tsakanikas, Κωνσταντίνα-Μαρία Γιαννακοπούλου
BMC Medical Informatics and Decision Making
Parkinson's Disease Mechanisms and Treatments
article

Context-agnostic machine learning for Parkinson’s disease motor symptom detection using wearable sensors

Ioanna Roussaki, Panagiοtis Tsakanikas, Κωνσταντίνα-Μαρία Γιαννακοπούλου
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision Making
National Technical University of Athens (GR), Institute of Communication and Computer Systems (GR)
Openalex Percentile: Top 8%
Parkinson's Disease Mechanisms and Treatments
DOIOpen Access PDFOpenAlex
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Context-agnostic machine learning for Parkinson’s disease motor symptom detection using wearable sensors — Ioanna Roussaki, Panagiοtis Tsakanikas, et al. · BMC Medical Informatics and Decision Making (2026) | TGRS Research Map | TGRS