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2020 | OriginalPaper | Buchkapitel

Application of Artificial Neural Networks in the Problems of the Patient’s Condition Diagnosis in Medical Monitoring Systems

verfasst von : Viktoriia Strilets, Nina Bakumenko, Serhii Chernysh, Mykhaylo Ugryumov, Volodymyr Donets

Erschienen in: Integrated Computer Technologies in Mechanical Engineering

Verlag: Springer International Publishing

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Abstract

The problem of accurate medical diagnosis is always urgent for any person. Existing methods for solving the problem of classification of the state of a complex system are considered. The paper proposes a method of classification of patients’ status in medical monitoring systems using artificial neural networks. The artificial neural networks training method uses bee colonies to simulate less training error. The research purpose is to determine the patient’s belonging to a particular class according to the variables of his condition, which are recorded. Examples of using the method to determine the status of patients with urological diseases and liver disease are given. The classification accuracy was more than 80%.

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Titel: Application of Artificial Neural Networks in the Problems of the Patient’s Condition Diagnosis in Medical Monitoring Systems
verfasst von: Viktoriia Strilets
Nina Bakumenko
Serhii Chernysh
Mykhaylo Ugryumov
Volodymyr Donets
Verlag: Springer International Publishing
Buch: Integrated Computer Technologies in Mechanical Engineering
Print ISBN: 978-3-030-37617-8

Electronic ISBN: 978-3-030-37618-5

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-37618-5_16

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