Approach to machine learning for extraction of real-world data variables from electronic health records

• Main Authors: Blythe Adamson (Author), Michael Waskom (Author), Auriane Blarre (Author), Jonathan Kelly (Author), Konstantin Krismer (Author), Sheila Nemeth (Author), James Gippetti (Author), John Ritten (Author), Katherine Harrison (Author), George Ho (Author), Robin Linzmayer (Author), Tarun Bansal (Author), Samuel Wilkinson (Author), Guy Amster (Author), Evan Estola (Author), Corey M. Benedum (Author), Erin Fidyk (Author), Melissa Estévez (Author), Will Shapiro (Author), Aaron B. Cohen (Author)
• Format: Book
• Published: Frontiers Media S.A., 2023-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: As artificial intelligence (AI) continues to advance with breakthroughs in natural language processing (NLP) and machine learning (ML), such as the development of models like OpenAI's ChatGPT, new opportunities are emerging for efficient curation of electronic health records (EHR) i...