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Detecting Imbalance of Patients with Vestibular Diagnosis Using Support Vector Machine

Thuy, H.D. and Thi, H.T. and Do Van, D. (2023) Detecting Imbalance of Patients with Vestibular Diagnosis Using Support Vector Machine. In: International Conference on Intelligent Systems and Network, ICISN 2023, 18 March 2023 Through 19 March 2023, Hanoi.

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Abstract

Nowadays, vestibular is a common disease in Vietnam. The diagnosis of vestibular disorders is made using a variety of methods. In the content of the article, we research and detect vestibular disorders by testing balance. We use a data set to quantitatively measure the patient’s body angle by using a camera and computer. Then, data analysis and logistic regression model were built to classify patients with vestibular disorders. This makes sense in the process of testing and diagnosing diseases more accurately and efficiently. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Control Engineering
Identification Number: 10.1007/978-981-99-4725-6₁₂
Uncontrolled Keywords: Diagnosis; Medical computing, Body angle; Common disease; Data set; Logistic Regression modeling; Romberg test; Support vectors machine; Vestibular diagnosis; Vestibular disorder; Viet Nam, Support vector machines
Additional Information: Conference of Proceedings of the International Conference on Intelligent Systems and Network, ICISN 2023; Conference Date: 18 March 2023 Through 19 March 2023; Conference Code:299689
URI: http://eprints.lqdtu.edu.vn/id/eprint/10953

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