Abstract Library

#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.

Conference:

Presenting Author:

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

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

#3642 GP-patient interactions and coding of neuroendocrine tumors (NETs) in primary care records

Introduction: Diagnostic delays in NETs are common with improved diagnosis times recently shown in Wales. Although studies have explored GP visits, these are based on patient surveys with recall bias and no exploration of GP coded data.

Conference:

Presenting Author: Olive S

Authors: Olive S, Gould H, Navaratnam J, Khan M,

Keywords: diagnosis, GP, primary care, coding,

#495 Risk Factors for Sporadic Pancreatic Neuroendocrine Tumors (PNETs): Updated Results From a Single-Center Case Control Study

Introduction: PNETs are uncommon and little is known about risk factors and association with other cancers.

Conference: 9th Annual ENETSConcerence (2012)

Presenting Author:

Authors: Halfdanarson T, Bamlet W, McWilliams R, Hobday T, Burch P,

Keywords: pancreatic neuroendocrine tumors, risk factors,