Development of a gastric cancer risk calculator for questionnaire-based surveillance of Iranian dyspeptic patients.

Background: Gastric cancer (GC) is considered a silent killer, taking more than three quarters of a million lives annually. Therefore, prior to further costly and invasive diagnostic approaches, an initial GC risk screening is desperately in demand.

Methods: In order to develop a simple risk scoring system, the demographic and lifestyle indices from 858 GC and 1132 non-ulcer dyspeptic (NUD) patients were analysed.

A Bayesian latent class extension of naive Bayesian classifier and its application to the classification of gastric cancer patients.

Background: The Naive Bayes (NB) classifier is a powerful supervised algorithm widely used in Machine Learning (ML). However, its effectiveness relies on a strict assumption of conditional independence, which is often violated in real-world scenarios. To address this limitation, various studies have explored extensions of NB that tackle the issue of non-conditional independence in the data.

Helicobacter pylori acquisition rates and the associated risk factors amongst newlywed couples; a prospective cohort study in Tehran, Iran.

Background: The rates and routes of Helicobacter pylori transmission, in a high-prevalent country like Iran, with gastric cancer as the leading cause of male cancer mortality, are of great essence. Here, we have studied the H. pylori-associated risk factors and the likelihood of interspousal transmission.

dupA as a risk determinant in Helicobacter pylori infection.

The Helicobacter pylori duodenal ulcer promoting (dupA) gene has been previously described as a risk marker for duodenal ulcer (DU) development and a protective factor against gastric cancer (GC). Recent studies which have assessed the application of dupA in the prediction of clinical outcomes have been controversial. In the current study, the association of dupA with the clinical outcomes and histopathological changes following H.