Optimization of the KNN Supervised Classification Algorithm as a Support Tool for the Implantation of Deep Brain Stimulators in Patients with Parkinson's Disease

6533b85efe1ef96bd12c088f

RESEARCH PRODUCT

Optimization of the KNN Supervised Classification Algorithm as a Support Tool for the Implantation of Deep Brain Stimulators in Patients with Parkinson's Disease

Alfredo Rosado-muñoz Gabriel Martin Bellino Marisa Battisti Juan Guerrero Luciano Schiaffino

subject

Parkinson's disease Deep brain stimulation microelectrode registers-MER Computer science medicine.medical_treatment General Physics and Astronomy lcsh:Astrophysics Feature selection 02 engineering and technology behavioral disciplines and activities Article Pharmacological treatment 03 medical and health sciences Neurologia feature selection 0302 clinical medicine deep brain stimulation-DBS Clinical support lcsh:QB460-466 0202 electrical engineering electronic engineering information engineering medicine In patient lcsh:Science Motor skill K-nearest neighbour-KNN algorithm medicine.disease Brain stimulators lcsh:QC1-999 nervous system diseases surgical procedures operative nervous system Parkinson’s disease lcsh:Q 020201 artificial intelligence & image processing Enginyeria biomèdica therapeutics Algorithm lcsh:Physics 030217 neurology & neurosurgery

description

Deep Brain Stimulation (DBS) of the Subthalamic Nuclei (STN) is the most used surgical treatment to improve motor skills in patients with Parkinson&rsquo

year	journal	country	edition	language
2019-03-01

10.3390/e21040346 https://doi.org/10.3390/e21040346

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