Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
A literature review of online handwriting analysis to detect Parkinson's disease at an early stage
Parkinson's disease (PD) affects millions of people worldwide, it dramatically affects the
brain areas' structure and functions. Therefore, it causes a progressive decline of cognitive …
brain areas' structure and functions. Therefore, it causes a progressive decline of cognitive …
Early detection of Parkinson's disease using deep learning and machine learning
Accurately detecting Parkinson's disease (PD) at an early stage is certainly indispensable
for slowing down its progress and providing patients the possibility of accessing to disease …
for slowing down its progress and providing patients the possibility of accessing to disease …
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease
The etiology of Parkinson's disease (PD) remains unclear. Symptoms usually appear after
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network
Deep learning has a huge potential in healthcare for uncovering the hidden patterns from
large volume of clinical data to diagnose different diseases. This paper presents a novel …
large volume of clinical data to diagnose different diseases. This paper presents a novel …
A systematic approach to diagnose Parkinson's disease through kinematic features extracted from handwritten drawings
Parkinson's disease is a slowly progressing neurodegenerative disorder that is not easy to
diagnose at the early stages because of delayed symptoms. The most usual ways to …
diagnose at the early stages because of delayed symptoms. The most usual ways to …
Parkinson disease classification using one against all based data sampling with the acoustic features from the speech signals
Parkinson's disease (PD) is a long-term degenerative disease that primarily affects the motor
system of the central nervous system. This disease is difficult to diagnose and is one of the …
system of the central nervous system. This disease is difficult to diagnose and is one of the …
Machine learning approach for classification of Parkinson disease using acoustic features
V Mittal, RK Sharma - Journal of Reliable Intelligent Environments, 2021 - Springer
Parkinson's disease (PD) is common disorder for many people and is not easy to diagnose.
It is a neurological disorder. The authors proposed a novel approach using data partitioning …
It is a neurological disorder. The authors proposed a novel approach using data partitioning …
Important features selection and classification of adult and child from handwriting using machine learning methods
The classification of different age groups, such as adult and child, based on handwriting is
very important due to its various applications in many different fields. In forensics …
very important due to its various applications in many different fields. In forensics …
The promise of convolutional neural networks for the early diagnosis of the Alzheimer's disease
P Erdogmus, AT Kabakus - Engineering Applications of Artificial …, 2023 - Elsevier
Alzheimer's Disease (AD) is one of the most devastating neurologic disorders, if not the
most, as there is no cure for this disease, and its symptoms eventually become severe …
most, as there is no cure for this disease, and its symptoms eventually become severe …