Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Kremmyda, Olympia"'
Publikováno v:
In Clinical Neurophysiology May 2018 129(5):952-955
Autor:
Kremmyda, Olympia1 (AUTHOR) olympia.kremmyda@med.uni-muenchen.de, Forbrig, Robert2 (AUTHOR), Heinrich, Johanna1 (AUTHOR), Winkler, Tobias3 (AUTHOR), Straube, Andreas1 (AUTHOR)
Publikováno v:
Nutritional Neuroscience. Jul2021, Vol. 24 Issue 7, p564-568. 5p. 3 Black and White Photographs.
Autor:
Kraus, Ludwig, Kremmyda, Olympia, Bremova-Ertl, Tatiana, Barceló, Sebastià, Feil, Katharina, Strupp, Michael
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 14, Iss 1, Pp 1-7 (2019)
Kraus, Ludwig; Kremmyda, Olympia; Brémovà-Ertl, Tatiana; Barceló, Sebastià; Feil, Katharina; Strupp, Michael (2019). An algorithm as a diagnostic tool for central ocular motor disorders, also to diagnose rare disorders. Orphanet journal of rare diseases, 14(1), p. 193. BioMed Central 10.1186/s13023-019-1164-8
Orphanet Journal of Rare Diseases
Kraus, Ludwig; Kremmyda, Olympia; Brémovà-Ertl, Tatiana; Barceló, Sebastià; Feil, Katharina; Strupp, Michael (2019). An algorithm as a diagnostic tool for central ocular motor disorders, also to diagnose rare disorders. Orphanet journal of rare diseases, 14(1), p. 193. BioMed Central 10.1186/s13023-019-1164-8
Orphanet Journal of Rare Diseases
Background Recently an increasing number of digital tools to aid clinical work have been published. This study’s aim was to create an algorithm which can assist physicians as a “digital expert” with the differential diagnosis of central ocular
Autor:
Kremmyda, Olympia
Ein Ziel der dieser Habilitationsschrift zugrunde liegenden Versuche war es, durch ein tieferes Verständnis der Mechanismen, die der Blicksteuerung zugrunde liegen, die klinische Diagnostik peripherer und zentraler okulomotorischer und vestibulärer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ad71db6664b54bc3153c91001594f5
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p P18 (2009)
Externí odkaz:
https://doaj.org/article/c7015f9fc53f47a4bd1c791d6d7a5820
Akademický článek
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Autor:
Kraus, Ludwig, Kremmyda, Olympia, Bremova-Ertl, Tatiana, Sebastià Barceló, Feil, Katharina, Strupp, Michael
Output of the algorithm for the input of the 3 examples from Additional file 3. According to our result interpretation rules (see Methods), the algorithm’s diagnosis suggestions for the three patients are: Patient 1: brain zone: Basal ganglia and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3686687627f844c968ed3a6b5a0513e4
Autor:
Kraus, Ludwig, Kremmyda, Olympia, Bremova-Ertl, Tatiana, Sebastià Barceló, Feil, Katharina, Strupp, Michael
Workflow of the algorithm – diseases. These tables show the working principle of the algorithm using the example of 5 of the 14 diseases (MS, PSP, Wernicke’s encephalopathy, AT, NPC). Whenever a symptom occurs in a patient whether the disease’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30fc34971cc39fa274bb1f648d45f702
Autor:
Kraus, Ludwig, Kremmyda, Olympia, Bremova-Ertl, Tatiana, Sebastià Barceló, Feil, Katharina, Strupp, Michael
Workflow of the algorithm – brain zones. These tables show the working principle of the algorithm using the example of 4 of the 8 brain zones (midbrain, pons, medulla, flocculus/paraflocculus). Whenever a symptom occurs in a patient, whether the br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b289ad806549e71d45f1d45f0455033e
Autor:
Kraus, Ludwig, Kremmyda, Olympia, Bremova-Ertl, Tatiana, Sebastià Barceló, Feil, Katharina, Strupp, Michael
Data entry mask with 3 examples. These tables show three sample patients’ signs and symptoms entered in the algorithm’s entry mask. “Yes” means the symptom was present, “No” means it was not and “0″ it was not looked for in the examin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7c414af4fd756655c69bcf213f66ff1