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Parkinson’s disease (võtmesõna)

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Kirjeid leitud 6
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ekspordi kõik päringu tulemused (6)
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Deep CNN based classification of the Archimedes spiral drawing tests to support diagnostics of the Parkinson’s diseaseNõmm, Sven; Zarembo, Sergei; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2020 / p. 260-264 https://doi.org/10.1016/j.ifacol.2021.04.185 Conference proceedings at Scopus Article at Scopus Article at WOS

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artikkel kogumikus

Mathematical and physical modelling of the dynamic electrical impedance both of a healthy neuron and one affected by Parkinson’s diseaseGiannoukos, GeorgiosAdvances 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, 20122012 / p. 79-84 : ill https://www.researchgate.net/publication/264128963_Mathematical_and_Physical_Modelling_of_the_Dynamic_Electrical_Impedance_of_a_Neuron

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Mathematical and physical modelling of the dynamic electrical impedance of a neuronGiannoukos, Georgios; Min, MartInternational journal of circuits, systems and signal processing2012 / p. 359-366 : ill https://www.researchgate.net/publication/264128963_Mathematical_and_Physical_Modelling_of_the_Dynamic_Electrical_Impedance_of_a_Neuron

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4

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Parkinson's disease diagnostics based on the analysis of digital sentence writing testNetšunajev, Aleksei; Nõmm, Sven; Toomela, Aaro; Medijainen, Kadri; Taba, PilleVietnam journal of computer science2021 / p. 493-512 https://doi.org/10.1142/S2196888821500238 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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5

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Topological fingerprints as an aid in finding structural patterns for LRRK2 inhibitionKahn, Iiris; Lomaka, Andre; Karelson, MatiMolecular informatics2014 / p. 269-275 : ill

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6

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Tremor-related feature engineering for machine learning based Parkinson’s disease diagnosticsValla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroBiomedical signal processing and control2022 / art. 103551 https://doi.org/10.1016/j.bspc.2022.103551 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Kirjeid leitud 6, kuvan 1 - 6

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. garment workers and patients with occupational disease
27. genetic predisposition to disease
28. heart disease risk factors
29. Huntington’s disease
30. infectious disease
31. in-transit disease
32. late blight disease
33. loco-regionally metastatic disease
34. lyme disease
35. mechanisms of disease
36. Menkes disease
37. molecular bases of disease
38. NAFLD (non-alcoholic fatty liver disease)
39. neurodegenerative disease
40. neuromuscular disease
41. non-alcoholic fatty liver disease
42. oat striate and red disease
43. physical overload disease
44. preclinical Alzheimer disease
45. renal disease
46. stable coronary heart disease
47. subclinical cardiovascular disease
48. Wilson disease
49. Wilson’s disease
50. von Willebrand disease

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