Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Crohn’s Disease is the subject of a report. According to ne ws originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Crohn’s disease is a complex genetic disease that involves ch ronic gastrointestinal inflammation and results from a complex set of genetic, e nvironmental, and immunological factors. By analyzing data from the human microb iome, genetic information can be used to predict Crohn’s disease.” Our news journalists obtained a quote from the research from the Anhui Universit y of Chinese Medicine, “Recent advances in deep learning have demonstrated its e ffectiveness in feature extraction and the use of deep learning to decode geneti c information for disease prediction. In this paper, we present a deep learning- based model that utilizes a sequential convolutional attention network (SCAN) fo r feature extraction, incorporates adaptive additive interval losses to enhance these features, and employs support vector machines (SVM) for classification. To address the challenge of unbalanced Crohn’s disease samples, we propose a rando m noise one-hot encoding data augmentation method. Data augmentation with random noise accelerates training convergence, while SCAN-SVM effectively extracts fea tures with adaptive additive interval loss enhancing differentiation. Our approa ch outperforms benchmark methods, achieving an average accuracy of 0.80 and a ka ppa value of 0.76, and we validate the effectiveness of feature enhancement.”
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