Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson’s Patients-Reference-Cited by-同舟云学术

Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson’s Patients

Published:2014 Issue: Volume: Page:499-509
ISSN:0302-9743
Container-title:Nature-Inspired Computation and Machine Learning
language:
Short-container-title:

Author:

Przybyszewski Andrzej W.,Kon Mark,Szlufik Stanislaw,Dutkiewicz Justyna,Habela Piotr,Koziorowski Dariusz M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-13650-9_43

Reference8 articles.

1. Lecture Notes in Computer Science;A.W. Przybyszewski,2008

2. Przybyszewski, A.W., Gaska, J.G., Foote, W., Pollen, D.A.: Striate cortex increases contrast gain of macaque LGN neurons. Visual Neuroscience 17, 1–10 (2000)

3. Przybyszewski, A.W.: Logic in Visual Brain: Compute to Recognize Similarities: Formalized Anatomical and Neurophysiological Bases of Cognition. Review of Psychology Frontier 1, 20–32 (2010) (open access)

4. Przybyszewski, A.W.: Logical rules of visual brain: From anatomy through neurophysiology to cognition. Cognitive Systems Research 11, 53–66 (2012)

5. Pizzolato, T., Mandat, T.: Deep Brain Stimulation for Movement Disorders. Frontiers in Integrative Neuroscience 6, 2 (2012), doi:10.3389/fnint.2012.00002

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson’s Patients;Fundamenta Informaticae;2020-12-18

2. Multimodal Learning Determines Rules of Disease Development in Longitudinal Course with Parkinson’s Patients;Studies in Big Data;2018-05-19

3. Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson’s Patients;Lecture Notes in Computer Science;2017

4. Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson’s Patients;Intelligent Information and Database Systems;2017

5. Building Classifiers for Parkinson’s Disease Using New Eye Tribe Tracking Method;Intelligent Information and Database Systems;2017