DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques. - Artur Chudzik; Artur Szymanski; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski (ACIIDS (2), 2019)

Eye-Tracking and Machine Learning Significance in Parkinson's Disease Symptoms Prediction. - Artur Chudzik; Artur Szymanski; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski (ACIIDS (2), 2020)

Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson's Patients. - Andrzej W. Przybyszewski; Artur Chudzik; Stanislaw Szlufik; Piotr Habela; Dariusz M. Koziorowski (Fundam. Informaticae, 2020)

Investigating the Impact of Parkinson's Disease on Brain Computations: An Online Study of Healthy Controls and PD Patients. - Artur Chudzik; Aldona Drabik; Andrzej W. Przybyszewski (ACIIDS (2), 2023)

Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms. - Andrzej W. Przybyszewski; Albert Sledzianowski; Artur Chudzik; Stanislaw Szlufik; Dariusz M. Koziorowski (Sensors, 2023)

Recognizing Patterns of Parkinson's Disease Using Online Trail Making Test and Response Dynamics - Preliminary Study. - Artur Chudzik; Jerzy Pawel Nowacki; Andrzej W. Przybyszewski (ICPR (2), 2024)

Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. - Artur Chudzik; Albert Sledzianowski; Andrzej W. Przybyszewski (Sensors, 2024)