Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records

• Published in: BMC medical informatics and decision making Vol. 23; no. 1; pp. 121 - 8
• Main Authors: Riskin, Daniel, Cady, Roger, Shroff, Anand, Hindiyeh, Nada A., Smith, Timothy, Kymes, Steven
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 14.07.2023; BioMed Central; BMC
• Subjects: Algorithms; Analysis; Annotations; Artificial Intelligence; Care and treatment; Charts; Clinical medicine; Computational linguistics; Datasets; Decision making; Diagnosis; Disease; Electronic Health Records; Electronic medical records; Electronic records; Headache; Headaches; Health aspects; Health care; Humans; Insurance claims; Language processing; Medical records; Methods; Migraine; Migraine Disorders - diagnosis; Migraine Disorders - therapy; Natural language interfaces; Natural Language Processing; Observational studies; Observational study; Patients; Real-world evidence; Recall; Signs and symptoms; Statistical analysis; Structured data; Unstructured data; United States; United States > US; Observational study; Electronic health records; Migraine; Real-world evidence

Real-world evidence (RWE)-based on information obtained from sources such as electronic health records (EHRs), claims and billing databases, product and disease registries, and personal devices and health applications-is increasingly used to support healthcare decision making. There is variability i...