Cargando…
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...
Autores principales: | Adamson, Blythe, Waskom, Michael, Blarre, Auriane, Kelly, Jonathan, Krismer, Konstantin, Nemeth, Sheila, Gippetti, James, Ritten, John, Harrison, Katherine, Ho, George, Linzmayer, Robin, Bansal, Tarun, Wilkinson, Samuel, Amster, Guy, Estola, Evan, Benedum, Corey M., Fidyk, Erin, Estévez, Melissa, Shapiro, Will, Cohen, Aaron B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541019/ https://www.ncbi.nlm.nih.gov/pubmed/37781703 http://dx.doi.org/10.3389/fphar.2023.1180962 |
Ejemplares similares
-
Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning
por: Benedum, Corey M., et al.
Publicado: (2023) -
Desktop and portable systems: a guide to supporting, servicing, and troubleshooting Apple computers
por: Linzmayer, Owen W
Publicado: (2005) -
Mac OS X support essentials
por: Linzmayer, Owen W
Publicado: (2005) -
Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework
por: Estevez, Melissa, et al.
Publicado: (2022) -
Risk of Spina Bifida and Maternal Cigarette, Alcohol, and Coffee Use during the First Month of Pregnancy
por: Benedum, Corey M., et al.
Publicado: (2013)