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Parkinson’s disease (keyword)
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1
journal article EST
/
journal article ENG
Deep CNN based classification of the Archimedes spiral drawing tests to support diagnostics of the Parkinson’s disease
Nõmm, Sven
;
Zarembo, Sergei
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
IFAC-Papers OnLine
2020
/
p. 260-264
https://doi.org/10.1016/j.ifacol.2021.04.185
Conference proceedings at Scopus
Article at Scopus
Article at WOS
journal article EST
/
journal article ENG
2
book article EST
/
book article ENG
An efficient neural network for the diagnosis of Parkinson’s disease using dynamic handwriting analysis
Wang, Xuechao
;
Nõmm, Sven
;
Huang, Junqing
;
Chatzakou, Marianna
;
Ruzhansky, Michael
Extended Abstracts MWCAPDE 2023 : Methusalem Workshop on Classical Analysis and Partial Differential Equations
2024
/
p. 97 - 104
https://doi.org/10.1007/978-3-031-41665-1_11
Article Collection metrics at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
3
book article
Mathematical and physical modelling of the dynamic electrical impedance both of a healthy neuron and one affected by Parkinson’s disease
Giannoukos, Georgios
Advances in applied information science : proceedings of the 12th WSEAS International Conference on Applied Informatics and Communications (AIC '12) : proceedings of the 5th WSEAS International Conference on Biomedical Electronics and Biomedical Informatics (BEBI '12) : Istanbul, Turkey, August 21-23, 2012
2012
/
p. 79-84 : ill
https://www.researchgate.net/publication/264128963_Mathematical_and_Physical_Modelling_of_the_Dynamic_Electrical_Impedance_of_a_Neuron
book article
4
journal article
Mathematical and physical modelling of the dynamic electrical impedance of a neuron
Giannoukos, Georgios
;
Min, Mart
International journal of circuits, systems and signal processing
2012
/
p. 359-366 : ill
https://www.researchgate.net/publication/264128963_Mathematical_and_Physical_Modelling_of_the_Dynamic_Electrical_Impedance_of_a_Neuron
journal article
5
journal article EST
/
journal article ENG
Parkinson's disease diagnostics based on the analysis of digital sentence writing test
Netšunajev, Aleksei
;
Nõmm, Sven
;
Toomela, Aaro
;
Medijainen, Kadri
;
Taba, Pille
Vietnam journal of computer science
2021
/
p. 493-512
https://doi.org/10.1142/S2196888821500238
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
6
journal article EST
/
journal article ENG
Topological fingerprints as an aid in finding structural patterns for LRRK2 inhibition
Kahn, Iiris
;
Lomaka, Andre
;
Karelson, Mati
Molecular informatics
2014
/
p. 269-275 : ill
https://doi.org/10.1002/minf.201300057
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
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journal article ENG
7
journal article EST
/
journal article ENG
Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics
Valla, Elli
;
Nõmm, Sven
;
Medijainen, Kadri
;
Taba, Pille
;
Toomela, Aaro
Biomedical signal processing and control
2022
/
art. 103551
https://doi.org/10.1016/j.bspc.2022.103551
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
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journal article ENG
Number of records 7, displaying
1 - 7
keyword
55
1.
Parkinson’s disease
2.
Parkinson’s disease machine learning
3.
Parkinson's disease
4.
Parkinson disease
5.
Parkinson’s diseas
6.
Alzheimer’s disease
7.
Alzheimer's disease
8.
anti-GBM disease
9.
cardiovascular disease
10.
celiac disease
11.
cerebrovascular disease
12.
chronic kidney disease
13.
chronic obstructive pulmonary disease
14.
coronary artery disease
15.
coronary artery disease (CAD)
16.
coronary disease
17.
coronary heart disease
18.
disease
19.
disease diagnosis
20.
disease model
21.
disease models
22.
disease progression
23.
disease resistance
24.
end stage renal disease
25.
end-stage kidney disease
26.
end-stage renal disease
27.
garment workers and patients with occupational disease
28.
gas bubble disease
29.
genetic predisposition to disease
30.
heart disease risk factors
31.
human disease
32.
Huntington’s disease
33.
infectious disease
34.
in-transit disease
35.
late blight disease
36.
loco-regionally metastatic disease
37.
lyme disease
38.
mechanisms of disease
39.
Menkes disease
40.
Metabolic dysfunction-associated steatotic liver disease
41.
molecular bases of disease
42.
NAFLD (non-alcoholic fatty liver disease)
43.
neurodegenerative disease
44.
neuromuscular disease
45.
non-alcoholic fatty liver disease
46.
oat striate and red disease
47.
physical overload disease
48.
preclinical Alzheimer disease
49.
renal disease
50.
stable coronary heart disease
51.
stereotypy of disease
52.
subclinical cardiovascular disease
53.
Wilson disease
54.
Wilson’s disease
55.
von Willebrand disease
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