Cargando…
MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection
Parkinson's disease (PD) is the second most common neurological disease having no specific medical test for its diagnosis. In this study, we consider PD detection based on multimodal voice data that was collected through two channels, i.e., Smart Phone (SP) and Acoustic Cardioid (AC). Four type...
Autores principales: | Ali, Liaqat, He, Zhiquan, Cao, Wenming, Rauf, Hafiz Tayyab, Imrana, Yakubu, Bin Heyat, Md Belal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591047/ https://www.ncbi.nlm.nih.gov/pubmed/34790091 http://dx.doi.org/10.3389/fnins.2021.754058 |
Ejemplares similares
-
Design of a Smart Elbow Brace as a Home-Based Rehabilitation Device
por: Said, Ramadhan Rashid, et al.
Publicado: (2022) -
Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling
por: Tummala, Sudhakar, et al.
Publicado: (2022) -
Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children
por: Menon, Sreevalsan S., et al.
Publicado: (2021) -
Control strategies for underactuated neural ensembles driven by optogenetic stimulation
por: Ching, ShiNung, et al.
Publicado: (2013) -
A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
por: Ukwuoma, Chiagoziem C., et al.
Publicado: (2022)