Severity level diagnosis of Parkinson's disease by ensemble K-nearest neighbor under imbalanced data
The reliable and explainable diagnosis of severity level for Parkinson's disease (PD) is
significant for the therapy. Nonetheless, there are little data for severe PD patients but …
significant for the therapy. Nonetheless, there are little data for severe PD patients but …
Progress prediction of Parkinson's disease based on graph wavelet transform and attention weighted random forest
Z Xue, T Zhang, L Lin - Expert systems with applications, 2022 - Elsevier
The progress prediction of Parkinson's disease (PD) is one of the most important issues in
early diagnosis of PD. Many researches have been conducted in this field, however, most …
early diagnosis of PD. Many researches have been conducted in this field, however, most …
A CNN-based multi-task framework for weather recognition with multi-scale weather cues
Automatic image-based weather recognition has a great significance in the practical use of
computer visual applications. The weather recognition approaches via multi-task learning …
computer visual applications. The weather recognition approaches via multi-task learning …
Remote Parkinson's disease severity prediction based on causal game feature selection
Z Xue, H Lu, T Zhang, X Guo, L Gao - Expert Systems with Applications, 2024 - Elsevier
Telemonitoring of Parkinson's disease has important implications for early diagnosis and
treatment of patients. Most of the existing feature selection methods for remote prediction of …
treatment of patients. Most of the existing feature selection methods for remote prediction of …
Artificial intelligence procedure for the screening of genetic syndromes based on voice characteristics
Perceptual and statistical evidence has highlighted voice characteristics of individuals
affected by genetic syndromes that differ from those of normophonic subjects. In this paper …
affected by genetic syndromes that differ from those of normophonic subjects. In this paper …
Addressing smartphone mismatch in Parkinson's disease detection aid systems based on speech
M Madruga, Y Campos-Roca, CJ Pérez - Biomedical Signal Processing …, 2023 - Elsevier
Objective: Voice analysis based systems offer low-cost, highly available automatic
diagnostic aid for Parkinson's disease (PD) detection anywhere a smartphone with a …
diagnostic aid for Parkinson's disease (PD) detection anywhere a smartphone with a …
Deep correlation mining for multi-task image clustering
X Yan, K Shi, Y Ye, H Yu - Expert Systems with Applications, 2022 - Elsevier
Multi-task clustering (MTC) aims to enhance the performance of each individual task by
leveraging the correlation information among them. Existing MTC algorithms usually first …
leveraging the correlation information among them. Existing MTC algorithms usually first …
Robust coupled tensor decomposition and feature extraction for multimodal medical data
High-dimensional and multimodal data to describe various aspects of a patient's clinical
condition have become increasingly abundant in the medical field across a variety of …
condition have become increasingly abundant in the medical field across a variety of …
Remote assessment of Parkinson's disease symptom severity based on group interaction feature assistance
Z Xue, H Lu, T Zhang, X Guo, L Gao - International Journal of Machine …, 2024 - Springer
Telemonitoring is an effective way to assess the severity of Parkinson's disease (PD). Due to
heterogeneity and small sample sizes, the multi-task learning is applied to build the specific …
heterogeneity and small sample sizes, the multi-task learning is applied to build the specific …
A Survey of Advances in Multimodal Federated Learning with Applications
Data privacy has long been an item of emphasis for personal data. This is especially true for
healthcare data, which is often multimodal (ie, it utilizes in some fashion multiple data …
healthcare data, which is often multimodal (ie, it utilizes in some fashion multiple data …