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

• Үндсэн зохиолчид: Blythe Adamson (Зохиогч), Michael Waskom (Зохиогч), Auriane Blarre (Зохиогч), Jonathan Kelly (Зохиогч), Konstantin Krismer (Зохиогч), Sheila Nemeth (Зохиогч), James Gippetti (Зохиогч), John Ritten (Зохиогч), Katherine Harrison (Зохиогч), George Ho (Зохиогч), Robin Linzmayer (Зохиогч), Tarun Bansal (Зохиогч), Samuel Wilkinson (Зохиогч), Guy Amster (Зохиогч), Evan Estola (Зохиогч), Corey M. Benedum (Зохиогч), Erin Fidyk (Зохиогч), Melissa Estévez (Зохиогч), Will Shapiro (Зохиогч), Aaron B. Cohen (Зохиогч)
• Формат: Ном
• Хэвлэсэн: Frontiers Media S.A., 2023-09-01T00:00:00Z.
• Нөхцлүүд: article
• Онлайн хандалт: 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...