New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
Parkinson's severity diagnosis explainable model based on 3D multi-head attention residual network
The severity evaluation of Parkinson's disease (PD) is of great significance for the treatment
of PD. However, existing methods either have limitations based on prior knowledge or are …
of PD. However, existing methods either have limitations based on prior knowledge or are …
Adaptive feature selection with flexible map** for diagnosis and prediction of Parkinson's disease
Parkinson's disease (PD) is a neurodegenerative disorder in which symptoms gradually
worsen over time, with no cure currently available. Therefore, its early-stage treatment is …
worsen over time, with no cure currently available. Therefore, its early-stage treatment is …
Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression
Q **ao, G Liu, Q Feng, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Longitudinal data with incomplete entries pose a significant challenge for clinical score
regression over multiple time points. Although many methods primarily estimate longitudinal …
regression over multiple time points. Although many methods primarily estimate longitudinal …
An Explainable Approach for Early Diagnosis of Parkinson's Disease Exploring Motor Symptoms
L Aversano, A Madau… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Parkinson's disease is a progressive neurodegen-erative disease that affects the nervous
system causing severe cognitive, motor, and behavioral dysfunctions. It is mainly caused by …
system causing severe cognitive, motor, and behavioral dysfunctions. It is mainly caused by …