Identifying Patients With Undiagnosed Small Intestinal Neuroendocrine Tumours In Primary Care Using Statistical And Machine Learning: Model Development And Validation Study

This study developed and evaluated clinical prediction models using statistical and machine learning techniques to identify patients at high risk of having an undiagnosed SI-NET. Four different model-building approaches were used and evaluated using internal-external cross-validation. The study also estimated the minimum sample size required for these models.