Enhancing Parkinson's Disease Detection and Diagnosis: A Survey of Integrative Approaches Across Diverse Modalities
Parkinson's disease (PD) is a chronic neurodegenerative illness that affects the brain and
central nervous system, leading to issues with pain, mobility, mood, and sleep. Early and …
central nervous system, leading to issues with pain, mobility, mood, and sleep. Early and …
Speech features-based Parkinson's disease classification using combined SMOTE-ENN and binary machine learning
S Dhanalakshmi, S Das, R Senthil - Health and Technology, 2024 - Springer
Purpose Parkinson's disease (PD) is one of the most prevalent neurodegenerative diseases
in the global context. The presently available detecting process of PD is costly and labour …
in the global context. The presently available detecting process of PD is costly and labour …
Binary weighted mean of vectors optimization based type-2 fuzzy-rough for feature selection
I Lahmar, A Zaier, M Yahia, R Boaullegue - Multimedia Tools and …, 2024 - Springer
One of the crucial problems in in the fields of machine learning and data mining is data
reduction by feature selection (FS). In this context, this paper proposes an FS method based …
reduction by feature selection (FS). In this context, this paper proposes an FS method based …
Artificial Intelligence Assisted Classifier's and Neural Network Based Prediction and Classification of Parkinson's Disease
Parkinson's illness inhibits movement. Early diagnosis is essential for effective treatment.
Neural networks and machine learning algorithms are very adept at processing large …
Neural networks and machine learning algorithms are very adept at processing large …
Detecting Parkinson's Disease using High-Dimensional Feature-Based Support Vector Regression
Parkinson's disease (PD) is a progressive neurological disorder that significantly impacts
patients' quality of life. Accurate and early detection of PD is crucial for effective …
patients' quality of life. Accurate and early detection of PD is crucial for effective …