A survey on computer-assisted Parkinson's disease diagnosis
Background and objective In this work, we present a systematic review concerning the
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …
A systematic review of artificial intelligence (AI) based approaches for the diagnosis of Parkinson's disease
Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects the elderly
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease
Background and objectives Parkinson's Disease (PD) is a devastating chronic neurological
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
Daily air quality index forecasting with hybrid models: A case in China
S Zhu, X Lian, H Liu, J Hu, Y Wang, J Che - Environmental pollution, 2017 - Elsevier
Air quality is closely related to quality of life. Air pollution forecasting plays a vital role in air
pollution warnings and controlling. However, it is difficult to attain accurate forecasts for air …
pollution warnings and controlling. However, it is difficult to attain accurate forecasts for air …
Performance of machine learning methods in diagnosing Parkinson's disease based on dysphonia measures
Parkinson's disease (PD) is a widespread degenerative syndrome that affects the nervous
system. Its early appearing symptoms include tremor, rigidity, and vocal impairment …
system. Its early appearing symptoms include tremor, rigidity, and vocal impairment …
Parkinson's disease detection using isosurfaces-based features and convolutional neural networks
Computer aided diagnosis systems based on brain imaging are an important tool to assist in
the diagnosis of Parkinson's disease, whose ultimate goal is the detection by automatic …
the diagnosis of Parkinson's disease, whose ultimate goal is the detection by automatic …
Automatic classification and prediction models for early Parkinson's disease diagnosis from SPECT imaging
Early and accurate diagnosis of Parkinson's disease (PD) is important for early
management, proper prognostication and for initiating neuroprotective therapies once they …
management, proper prognostication and for initiating neuroprotective therapies once they …
Unified deep learning approach for prediction of Parkinson's disease
The study presents a novel approach, based on deep learning, for diagnosis of Parkinson's
disease through medical imaging. The approach includes analysis and use of the …
disease through medical imaging. The approach includes analysis and use of the …
Early detection of Parkinson's disease through patient questionnaire and predictive modelling
R Prashanth, SD Roy - International journal of medical informatics, 2018 - Elsevier
Early detection of Parkinson's disease (PD) is important which can enable early initiation of
therapeutic interventions and management strategies. However, methods for early detection …
therapeutic interventions and management strategies. However, methods for early detection …
High-accuracy classification of parkinson's disease through shape analysis and surface fitting in 123I-Ioflupane SPECT imaging
Early and accurate identification of Parkinsonian syndromes (PS) involving presynaptic
degeneration from nondegenerative variants such as scans without evidence of …
degeneration from nondegenerative variants such as scans without evidence of …