Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking

ND Cilia, G De Gregorio, C De Stefano… - … Applications of Artificial …, 2022 - Elsevier
Neurodegenerative diseases are caused by the progressive degeneration of nerve cells that
affect motor skills and cognitive abilities with increasing severity. Unfortunately, there is no …

Deep transfer learning based parkinson's disease detection using optimized feature selection

SM Abdullah, T Abbas, MH Bashir, IA Khaja… - IEEE …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is one of the chronic neurological diseases whose progression is
slow and symptoms have similarities with other diseases. Early detection and diagnosis of …

Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues

A Parziale, R Senatore, A Della Cioppa… - Artificial intelligence in …, 2021 - Elsevier
In the last decades, early disease identification through non-invasive and automatic
methodologies has gathered increasing interest from the scientific community. Among …

Dynamic handwriting analysis for neurodegenerative disease assessment: a literary review

G Vessio - Applied Sciences, 2019 - mdpi.com
Studying the effects of neurodegeneration on handwriting has emerged as an
interdisciplinary research topic and has attracted considerable interest from psychologists to …

PDD-ET: Parkinson's Disease Detection Using ML Ensemble Techniques and Customized Big Dataset

K Chatterjee, RP Kumar, A Bandyopadhyay, S Swain… - Information, 2023 - mdpi.com
Parkinson's disease (PD) is a neurological disorder affecting the nerve cells. PD gives rise to
various neurological conditions, including gradual reduction in movement speed, tremors …

Parkinson's disease diagnosis: towards grammar-based explainable artificial intelligence

F Cavaliere, A Della Cioppa, A Marcelli… - … IEEE symposium on …, 2020 - ieeexplore.ieee.org
Machine Learning (ML) approaches are vastly used for supporting humans in decision-
making processes. However, the poor explainability associated to their behavior hampers …

Patient questionnaires based Parkinson's disease classification using artificial neural network

T Das, S Mobassirin, SMM Hossain, A Das, A Sen… - Annals of Data …, 2024 - Springer
Parkinson's disease is one of the most prevalent and harmful neurodegenerative conditions
(PD). Even today, PD diagnosis and monitoring remain pricy and inconvenient processes …

A novel approach for Parkinson's disease diagnosis using deep learning and Harris Hawks optimization algorithm with handwritten samples

S Hadadi, SP Arabani - Multimedia Tools and Applications, 2024 - Springer
Parkinson's is a progressive neurological disease without a cure; the early symptoms of the
disease usually appear slowly and gradually, and early diagnosis of the disease can help …

Parkinson's disease resting tremor severity classification using machine learning with resampling techniques

A Channa, O Cramariuc, M Memon… - Frontiers in …, 2022 - frontiersin.org
In resting tremor, the body part is in complete repose and often dampens or subsides
entirely with action. The most frequent cause of resting tremors is known as idiopathic …

Writing order recovery in complex and long static handwriting

M Diaz, G Crispo, A Parziale, A Marcelli… - arXiv preprint arXiv …, 2024 - arxiv.org
The order in which the trajectory is executed is a powerful source of information for
recognizers. However, there is still no general approach for recovering the trajectory of …