Article
Assessment for antibiotic resistance in Helicobacter pylori: A practical and interpretable machine learning model based on genome-wide genetic variation.
Virulence - 1 Dec 2025
Wang Yingying, Zheng Shuwen, Guo Rui, Li Yanke, Yin Honghao, Qiu Xunan, Chen Jijun, Ni Chuxuan, Yuan Yuan, Gong Yuehua
Abstract excerpt
Helicobacter pylori (H. pylori) antibiotic resistance poses a global health threat. Accurate identification of antibiotic resistant strains is essential for the control of infection. In the present study, our goal is to leverage the whole-genome data of H. pylori to develop practical and interpretable machine learning (ML) models for comprehensive antibiotic resistance assessment. A total of 296 H. pylori...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
