Long Short-Term Memory-Based Deep Learning Models for Screening Parkinson’s Disease Using Sequential Diagnostic Codes

Ischemic stroke causes Parkinson’s disease-like pathology and symptoms in transgenic mice overexpressing alpha-synuclein

(2022) Stephanie Lohmann et al.   Acta Neuropathologica Communications

Challenges in the diagnosis of Parkinson's disease

(2021) Eduardo Tolosa et al.   LANCET NEUROLOGY

The Logic and Pitfalls of Parkinson's Disease as “Brain‐First” Versus “ Body‐First ” Subtypes

(2021) Conor Fearon et al.   MOVEMENT DISORDERS

Early diagnosis of Parkinson’s disease using machine learning algorithms

(2020) Zehra Karapinar Senturk   MEDICAL HYPOTHESES

Detection of Parkinson’s Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network

(2020) Sabyasachi Chakraborty et al.   Diagnostics

Brain-first versus body-first Parkinson’s disease: a multimodal imaging case-control study

(2020) Jacob Horsager et al.   BRAIN

Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning

(2019) Filippo Cavallo et al.   PARKINSONISM & RELATED DISORDERS

Detection of Parkinson’s disease based on voice patterns ranking and optimized support vector machine

(2019) Salim Lahmiri et al.   Biomedical Signal Processing and Control

Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques

(2019) Jefferson S. Almeida et al.   PATTERN RECOGNITION LETTERS

Associations between cerebrovascular risk factors and parkinson disease

(2019) Benjamin R. Kummer et al.   ANNALS OF NEUROLOGY

Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer’s disease to Parkinson’s disease

(2019) Hongyoon Choi et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait

(2019) Imanne El Maachi et al.   EXPERT SYSTEMS WITH APPLICATIONS

An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement

(2019) Ujjwal Gupta et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Feature-driven machine learning to improve early diagnosis of Parkinson's disease

(2018) Luca Parisi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease

(2018) Enas Abdulhay et al.   Future Generation Computer Systems-The International Journal of eScience

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing

(2017) Teresa Arroyo-Gallego et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Parkinson's disease might increase the risk of cerebral ischemic lesions

(2017) In-Uk Song et al.   International Journal of Medical Sciences

A predictive model to identify Parkinson disease from administrative claims data

(2017) Susan Searles Nielsen et al.   NEUROLOGY

Assessment of spontaneous cardiovascular oscillations in Parkinson's disease

(2016) Gaetano Valenza et al.   Biomedical Signal Processing and Control

High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning

(2016) R. Prashanth et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Advances in markers of prodromal Parkinson disease

(2016) Ronald B. Postuma et al.   Nature Reviews Neurology

Parkinson's disease classification using gait analysis via deterministic learning

(2016) Wei Zeng et al.   NEUROSCIENCE LETTERS

Parkinson's disease

(2015) Lorraine V Kalia et al.   LANCET

MDS clinical diagnostic criteria for Parkinson's disease

(2015) Ronald B. Postuma et al.   MOVEMENT DISORDERS

Parkinson’s Disease Is Related to an Increased Risk of Ischemic Stroke—A Population-Based Propensity Score-Matched Follow-Up Study

(2013) Ya-Ping Huang et al.   PLoS One

Identifying prodromal Parkinson's disease: Pre-Motor disorders in Parkinson's disease

(2012) Ronald B. Postuma et al.   MOVEMENT DISORDERS

Predicting disease risks from highly imbalanced data using random forest

(2011) Mohammed Khalilia et al.   BMC Medical Informatics and Decision Making

The use of a color coded probability scale to interpret smell tests in suspected parkinsonism

(2009) Laura Silveira-Moriyama et al.   MOVEMENT DISORDERS