Applications of machine learning models in the prediction of gastric cancer risk in patients after Helicobacter pylori eradication.
Wai-Keung LeungKa Shing CheungBofei LiSimon Y K LawThomas K L LuiPublished in: Alimentary pharmacology & therapeutics (2021)
Based on simple baseline patient information, machine learning model can accurately predict the risk of post-eradication gastric cancer. This model could substantially reduce the number of patients who require endoscopic surveillance.
Keyphrases
- helicobacter pylori
- machine learning
- helicobacter pylori infection
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- artificial intelligence
- public health
- prognostic factors
- big data
- peritoneal dialysis
- case report
- ultrasound guided
- patient reported outcomes
- deep learning
- social media