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#3981 Identifying patients with undiagnosed small intestinal neuroendocrine tumors using statistical and machine learning: Model development and validation study

Introduction: Diagnosis of small intestinal neuroendocrine tumors (SI-NETs) is often delayed due to non-specific symptoms and lack of awareness among primary and secondary care physicians. Earlier diagnosis may lead to improved clinical and patient outcomes. Clinical prediction models using machine learning could present novel opportunities for expedited diagnosis in primary care.

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Presenting Author:

Authors: Clift A, Mahon H, Khan G, Boardman-Pretty F, Worker A,

Keywords: machine learning, artificial intelligence, diagnosis, neuroendocrine tumor,