Development and validation of a multivariable risk factor questionnaire to detect oesophageal cancer in 2-week wait patients.

Introduction: Oesophageal cancer is associated with poor health outcomes. Upper GI (UGI) endoscopy is the gold standard for diagnosis but is associated with patient discomfort and low yield for cancer. We used a machine learning approach to create a model which predicted oesophageal cancer based on questionnaire responses.