首页|Anhui University of Chinese Medicine Reports Findings in Crohn’s Disease (Predic tion of Crohn’s disease based on deep feature recognition)

Anhui University of Chinese Medicine Reports Findings in Crohn’s Disease (Predic tion of Crohn’s disease based on deep feature recognition)

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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.”

HefeiPeople’s Republic of ChinaAsiaCrohn’s DiseaseDigestive System Diseases and ConditionsGastroenteritisGas troenterologyGastrointestinalGastrointestinal Diseases and ConditionsGenet icsHealth and Medicine

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.16)