Explainable machine learning with pairwise interactions for the classification of Parkinson’s disease and SWEDD from clinical and imaging features

Editorial for the Special Issue on “Machine Learning in Healthcare and Biomedical Application”

(2022) Alessia Sarica   Algorithms

A deep explainable artificial intelligent framework for neurological disorders discrimination

(2021) Soroosh Shahtalebi et al.   Scientific Reports

Explainable deep learning architecture for early diagnosis of Parkinson’s disease

(2021) Yi-Wei Ma et al.   SOFT COMPUTING

Neuropsychological assessment could distinguish among different clinical phenotypes of progressive supranuclear palsy: A Machine Learning approach

(2020) Maria Grazia Vaccaro et al.   Journal of Neuropsychology

Using Artificial Neural Network to Discriminate Parkinson’s Disease from Other Parkinsonisms by Focusing on Putamen of Dopamine Transporter SPECT Images

(2020) Chung-Yao Chien et al.   Biomedicines

Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning

(2020) Yifeng Yang et al.   JOURNAL OF NEUROSCIENCE METHODS

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm

(2018) Nicola Amoroso et al.   Biomedical Engineering Online

Parkinson's Disease Diagnosis via Joint Learning from Multiple Modalities and Relations

(2018) Haijun Lei et al.   IEEE Journal of Biomedical and Health Informatics

Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

(2017) Alessia Sarica et al.   Frontiers in Aging Neuroscience

High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging

(2017) R. Prashanth et al.   IEEE Journal of Biomedical and Health Informatics

Computer-Aided Diagnosis of Parkinson’s Disease Using Enhanced Probabilistic Neural Network

(2015) Thomas J. Hirschauer et al.   JOURNAL OF MEDICAL SYSTEMS

Computer-aided diagnosis of Parkinson’s disease based on [123I]FP-CIT SPECT binding potential images, using the voxels-as-features approach and support vector machines

(2015) Francisco P M Oliveira et al.   Journal of Neural Engineering

Diagnostic Accuracy of Parkinson Disease by Support Vector Machine (SVM) Analysis of 123I-FP-CIT Brain SPECT Data

(2014) Barbara Palumbo et al.   MEDICINE

Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy

(2013) C. Salvatore et al.   JOURNAL OF NEUROSCIENCE METHODS

Distinguishing SWEDDs patients with asymmetric resting tremor from Parkinson's disease: A clinical and electrophysiological study

(2010) Petra Schwingenschuh et al.   MOVEMENT DISORDERS

Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results

(2008) Christopher G. Goetz et al.   MOVEMENT DISORDERS