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A report from the SRM Institute of Science and Technology in Chennai, India, provides new insights into epilepsy and seizure detection. The researchers used an optical machine learning technique to analyze electroencephalogram (EEG) readings and distinguish between focal and non-focal signals. They found that a combination of elliptical mode decomposition-discrete wavelet transform (EPMD-DWT) and log-energy entropy yielded the highest accuracy in distinguishing the signals. The study concluded that the K-nearest neighbor (K-NN) classifier performed better than the support vector machine algorithm (SVMA) classifier in terms of accuracy. The K-NN classifier achieved an accuracy of 75%, sensitivity of 77.78%, and specificity of 72.73%, while the SVMA classifier had an accuracy of 58.33%, sensitivity of 60.87%, and specificity of 56.76%. [Extracted from the article]

A recent study conducted at Anna University in Chennai, India, focused on the detection and classification of melanoma skin cancer using image processing techniques. The researchers developed two methods for detecting skin cancer, with a specific focus on melanoma. The first method utilized convolutional neural networks, while the second method employed support vector machines. The results showed that the convolutional neural network achieved a 91% accuracy rate, while the support vector machine classifier achieved an 86.6% accuracy rate. The researchers also developed web and mobile applications for the convolutional neural network model. This research highlights the importance of early detection for effective treatment of skin cancer, particularly melanoma. [Extracted from the article]

Keywords for this news article include: Chennai, India, Asia, Cancer, Diagnostics and Screening, Health and Medicine, Machine Learning, Oncology, Support Vector Machines, School of Computing. Keywords: Chennai; India; Asia; Cancer; Diagnostics and Screening; Health and Medicine; Machine Learning; Oncology; Support Vector Machines EN Chennai India Asia Cancer Diagnostics and Screening Health and Medicine Machine Learning Oncology Support Vector Machines 479 479 1 08/28/23 20230829 NES 230829 2023 AUG 29 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Weekly -- Investigators publish new report on Cancer. [Extracted from the article]

Keywords: Chennai; India; Asia; Diagnostics and Screening; Electroencephalography; Emerging Technologies; Health and Medicine; Machine Learning; Support Vector Machines; Vector Machines EN Chennai India Asia Diagnostics and Screening Electroencephalography Emerging Technologies Health and Medicine Machine Learning Support Vector Machines Vector Machines 350 350 1 04/10/23 20230414 NES 230414 2023 APR 14 (NewsRx) -- By a News Reporter-Staff News Editor at Genomics & Genetics Weekly -- Data detailed on Support Vector Machines have been presented. Keywords for this news article include: Chennai, India, Asia, Diagnostics and Screening, Electroencephalography, Emerging Technologies, Health and Medicine, Machine Learning, Support Vector Machines, Vector Machines, Department of Computer Technology. [Extracted from the article]