Using an Ontological Approach for Improvement of the Interval Model in the Problem of the Recurrent Laryngeal Nerve Identification During Thyroid Surgery (Englisch)
Freier Zugriff
- Neue Suche nach: Dyvak, Mykola
- Neue Suche nach: Melnyk, Andriy
- Neue Suche nach: Kopnický, Miroslav
- Neue Suche nach: Dostalek, Libor
- Neue Suche nach: Krytskyi, Igor
- Neue Suche nach: Dyvak, Andriy
- Neue Suche nach: Dyvak, Mykola
- Neue Suche nach: Melnyk, Andriy
- Neue Suche nach: Kopnický, Miroslav
- Neue Suche nach: Dostalek, Libor
- Neue Suche nach: Krytskyi, Igor
- Neue Suche nach: Dyvak, Andriy
In:
Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine (IDDM 2021)
; 317-322
;
2021
- Aufsatz (Konferenz) / Elektronische Ressource
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Titel:Using an Ontological Approach for Improvement of the Interval Model in the Problem of the Recurrent Laryngeal Nerve Identification During Thyroid Surgery
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Beteiligte:Dyvak, Mykola ( Autor:in ) / Melnyk, Andriy ( Autor:in ) / Kopnický, Miroslav ( Autor:in ) / Dostalek, Libor ( Autor:in ) / Krytskyi, Igor ( Autor:in ) / Dyvak, Andriy ( Autor:in )
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Kongress:International Conference on Informatics & Data-Driven Medicine ; 4. ; 2021 ; Online
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Erschienen in:
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Verlag:
- Neue Suche nach: [RWTH Aachen]
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Erscheinungsort:[Aachen, Germany]
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Erscheinungsdatum:2021
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Medientyp:Aufsatz (Konferenz)
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Format:Elektronische Ressource
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Sprache:Englisch
- Neue Suche nach: 44.32
- Weitere Informationen zu Basisklassifikation
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Schlagwörter:
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Klassifikation:
BKL: 44.32 Medizinische Mathematik, medizinische Statistik -
Datenquelle:
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Using an Ontological Approach for Improvement of the Interval Model in the Problem of the Recurrent Laryngeal Nerve Identification During Thyroid SurgeryDyvak, Mykola / Melnyk, Andriy / Kopnický, Miroslav / Dostalek, Libor / Krytskyi, Igor / Dyvak, Andriy et al. | 2021