Paper Title :An Ai Framework to Aid the Diagnosis of Hepatic Encephalopathy, EEG as a Case Study
Author :Yu-Lun Huang, Lin-Kai Huang
Article Citation :Yu-Lun Huang ,Lin-Kai Huang ,
(2023 ) " An Ai Framework to Aid the Diagnosis of Hepatic Encephalopathy, EEG as a Case Study " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 12-16,
Volume-11,Issue-9
Abstract : Hepatic Encephalopathy (HE) is a disease with problematic complications that plague patients with liver
cirrhosis. The clinical presentation of HE includes elevated blood ammonia levels and neuropsychiatric and cognitive
dysfunction. Sometimes, the clinical presentation combined with motor activity and electroencephalography (EEG)
abnormalities. The treatment efficacy of HE is suboptimal, mainly because the early changes are not noticeable. With the
rapid development of big data and artificial intelligence (AI), experts and scholars have developed several AI models for
assisting diagnosis. This paper proposes a framework for helping HE diagnosis. Suppose a potential patient can report their
biomedical data more quickly. In that case, the doctor can diagnose as early as possible and better treat the patient. KaiDiag
provides exclusive preprocesses, feature extractions, and analyzers for EEG signals. We design an adaptive scoring module
to derive the final score so that a doctor can take the score as his reference during diagnosis. In addition, we create a series of
hardware devices, including an aggregator and a portable EEG device, for daily monitoring and early detection.
We conduct several experiments to verify the performance of KaiDiag, including the performance impacts of different data
preprocessing methods and AI models. The experiment results show that KaiDiag (with Multi-Layer Perceptron) achieves
89.2% accuracy, 89.4% sensitivity, and 88.1% specificity. Compared with the existing research, KaiDiag can analyze the
enormous variety of data and maintain a good performance in terms of accuracy, sensitivity, and specificity.
Keywords - Hepatic Encephalopathy Diagnosis, Portable EEG Device, Artificial Intelligence
Type : Research paper
Published : Volume-11,Issue-9
Copyright: © Institute of Research and Journals
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Published on 2023-12-05 |
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