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

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

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) into r...

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Bibliographic Details
Main Authors: Blythe Adamson, Michael Waskom, Auriane Blarre, Jonathan Kelly, Konstantin Krismer, Sheila Nemeth, James Gippetti, John Ritten, Katherine Harrison, George Ho, Robin Linzmayer, Tarun Bansal, Samuel Wilkinson, Guy Amster, Evan Estola, Corey M. Benedum, Erin Fidyk, Melissa Estévez, Will Shapiro, Aaron B. Cohen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Pharmacology
Subjects:
electronic health records
cancer
oncology
real-world data
machine learning
natural language processing
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2023.1180962/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2023.1180962/full

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