Development and validation of a novel model for characterizing migraine outcomes within real-world data

• Published in: Journal of headache and pain Vol. 23; no. 1; pp. 124 - 7
• Main Authors: Hindiyeh, Nada A., Riskin, Daniel, Alexander, Kimberly, Cady, Roger, Kymes, Steven
• Format: Journal Article
• Language: English
• Published: Milan Springer Milan 01.12.2022; Springer Nature B.V; BMC
• Subjects: Accuracy; Artificial intelligence; Automation; Electronic health records; Electronic medical records; Headache; Internal Medicine; Medicine; Medicine & Public Health; Migraine; Neurology; Outcome model; Pain Medicine; Real-world evidence; Outcome model; Artificial intelligence; Electronic health records; Migraine; Real-world evidence

Background In disease areas with ‘soft’ outcomes (i.e., the subjective aspects of a medical condition or its management) such as migraine or depression, extraction and validation of real-world evidence (RWE) from electronic health records (EHRs) and other routinely collected data can be challenging...