Predicting Clinical Outcomes in Helicobacter pylori-positive Patients using Supervised Learning through the Integration of Demographic and Genomic Features
V Narasimhan, Sreya Pulakkat Warrier, Jobin Jacob John, Monisha Priya T., Niriksha Varadaraj, Greeshma Grace Thomas, Balaji Veeraraghavan
This paper integrates host demographic and H. pylori genomic features to predict gastric cancer outcomes using machine learning, finding that age and genomic features improve prediction beyond traditional clinical data.
BMC Gastroenterology · Jan 29, 2026Peer-reviewedBioinformatics