An efficient neural network for the diagnosis of Parkinson’s disease using dynamic handwriting analysis
statement of authorship
Xuechao Wang, Sven Nõmm, Junqing Huang, Marianna Chatzakou and Michael Ruzhansky
source
Extended Abstracts MWCAPDE 2023 : Methusalem Workshop on Classical Analysis and Partial Differential Equations
location of publication
Cham, Switzerland
publisher
year of publication
pages
p. 97 - 104
series
Trends in Mathematics ; Vol. 1
ISSN
2297-0215
ISBN
9783031416651
notes
Bibliogr.: 20 ref
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
dynamic handwriting analysis
long short-term memory
category (general)
category (sub)
Wang, X., Nõmm, S., Huang, J., Chatzakou, M., Ruzhansky, M. An efficient neural network for the diagnosis of Parkinson’s disease using dynamic handwriting analysis // Extended Abstracts MWCAPDE 2023 : Methusalem Workshop on Classical Analysis and Partial Differential Equations. Cham, Switzerland : Springer, 2024. p. 97 - 104. (Trends in Mathematics ; Vol. 1). https://doi.org/10.1007/978-3-031-41665-1_11