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Selbstdiagnose von Diabetes mithilfe des CBR-Algorithmus

Selbstdiagnose von Diabetes mithilfe des CBR-Algorithmus

Eshtiag A. Abd Elrhman / Halima Elbashier / Nadir Salih

57,58 €
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Informática: cuestiones generales
ISBN:
9786208149826
57,58 €
IVA incluido
Disponible

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Buch über aktuelle Forschung und jüngste Arbeiten. Im medizinischen Bereich sind Diagnose, Klassifizierung und Behandlung die Hauptaufgaben eines Arztes. Die vielseitige und komplexe Natur des medizinischen Bereichs, wie z. B. des psychophysiologischen Bereichs, erfordert oft die Entwicklung eines Systems, das mehrere Techniken anwendet, wie z. B. CBR[1]. In diesem Buch haben wir eine Methode vorgeschlagen, mit der neue Patienten anhand der ähnlichen Lösung gespeicherter Fälle diagnostiziert werden können. CBR passt frühere Lösungen für ähnliche Probleme an, um neue Probleme zu lösen. Für die Ähnlichkeit haben wir Aufschubfunktionen verwendet, die eine optimale Anpassung ermöglichen. Die ständig steigenden Kosten für medizinische Ausgaben, die wachsende Bevölkerungszahl und der steigende Bedarf an Gesundheitsversorgung, die eine Zeitersparnis für Labortechniker bei der Untersuchung erfordert, sind ein großer Anreiz, einen neuen Ansatz zu entwickeln, der dazu beiträgt, die Gesundheitsversorgung für Patienten zu geringeren Kosten und mit gutem Management bereitzustellen. Wir haben damit begonnen, das Konzept des autonomen Systems anzuwenden, das das System ohne Eingreifen des Benutzers arbeiten lässt.

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Otros libros del autor

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