Development of a machine learning algorithm based on administrative claims data for identification of ED anaphylaxis patient visits

A machine learning approach for stratifying risk for food allergies utilizing electronic medical record data

“…A family history of atopic conditions has been used to identify high-risk infants in the immediate postnatal period in the research setting 4 yet performs poorly and does not distinguish between genetic and environmental risk factors. Machine learning algorithms can be trained on the extensive and rich data available in electronic medical records (EMR), as has been done to identify anaphylaxis visits to the emergency department 5 and separately, to identify allergic reactions in the healthcare setting. 6 EMR's can additionally be harnessed for risk stratification, as has been done for pediatric obesity.…”