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.
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Thuy, H.D., Thi, H.T., Do Van, D. (2023). Detecting Imbalance of Patients with Vestibular Diagnosis Using Support Vector Machine. In: Nguyen, T.D.L., Verdú, E., Le, A.N., Ganzha, M. (eds) Intelligent Systems and Networks. ICISN 2023. Lecture Notes in Networks and Systems, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-99-4725-6_12
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