A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

Explainable Artificial Intelligence (EXAI) models for early prediction of Parkinson's Disease based on spiral and Wave drawings

S Saravanan, K Ramkumar, K Narasimhan… - IEEE …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a rapidly growing neurodegenerative disorder that primarily
affects the elderly population. Until now, there has been no antidote for PD. However …

[HTML][HTML] Biometric data and machine learning methods in the diagnosis and monitoring of neurodegenerative diseases: a review

IA Hodashinsky, KS Sarin, MB Bardamova… - Computer …, 2022 - computeroptics.ru
A review of noninvasive biometric methods for detecting and predicting neurodegenerative
diseases is presented. An analysis of various modalities used to diagnose and monitor …

Diagnosis of Parkinson's disease from hand drawing utilizing hybrid models

P Varalakshmi, BT Priya, BA Rithiga… - Parkinsonism & related …, 2022 - Elsevier
Parkinson's disease is a nervous system abnormality marked by decreased dopamine levels
in the brain. Parkinson's disease inhibits one's ability to move. Speech difficulty, changes in …

Optimized Handwriting-based Parkinson's Disease Classification Using Ensemble Modeling and VGG19 Feature Extraction

J Unjung, MR Ningsih - Scientific Journal of Informatics, 2023 - journal.unnes.ac.id
Purpose: Parkinson's is a neurological disorder that causes muscles to weaken and arms
and legs to tremor over time. The discovery and identification of the stages of Parkinson's …

Ovarian cancer prediction from ovarian cysts based on TVUS using machine learning algorithms

L Akter, N Akhter - Proceedings of the International Conference on Big …, 2022 - Springer
Ovarian Cancer (OC) is type of female reproductive malignancy which can be found among
young girls and mostly the women in their fertile or reproductive. There are few number of …

An Overview of Hand-Drawn Diagram Recognition Methods and Applications

V Agrawal, J Jagtap, MVVP Kantipudi - IEEE Access, 2024 - ieeexplore.ieee.org
Hand-drawn diagrams have been a standard visual communication tool in many disciplines,
including architectural design, engineering, and education. The inherent diversity and …

Development of a Handwriting Drawings Assessment System for Early Parkinson's Disease Identification with Deep Learning Methods

J Zhang, Y Lee, TM Chung, H Park - International Conference on Future …, 2023 - Springer
Parkinson's disease (PD) is a prevalent neurodegenerative disorder, and early detection
plays a crucial role in timely treatment to prevent further harm to patients. In recent years …

Utilizing Ensemble Learning in Detecting Parkinson's Disease with Reduced Facial Expressions and Hand-Written Drawings

SN Karunarathne, S Vasanthapriyan… - 2023 7th SLAAI …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a neurodegenerative disorder that affects individuals'
movement, planning, initiation, and execution. Some of the most common symptoms of PD …

[HTML][HTML] Биометрические данные и методы машинного обучения в диагностике и мониторинге нейродегенеративных заболеваний: обзор

ИА Ходашинский, КС Сарин, МБ Бардамова… - Компьютерная …, 2022 - cyberleninka.ru
Представлен обзор неинвазивных биометрических методов выявления и
прогнозирования развития нейродегенеративных заболеваний. Дан анализ различных …