Publications tagged with “machine learning”

A branch of data science and statistics that enables modeling to learn from data without explicit programming.

Hoffman P, Parlett LE, Beachler DC, et al. Validation of claims-based algorithms for newly diagnosed juvenile idiopathic arthritis using machine learning methods. Poster presented at: 2023 American College of Rheumatology (ACR) Convergence; Nov 10 – Nov 15, 2023; San Diego, CA, US https://acr23.eventscribe.net/searchGlobal.asp?mode=Presentations&SearchQuery=0353.

Disclaimer

The content of this website, including articles, papers, and any other materials, reflects my personal views and opinions. They do not necessarily represent the views or opinions of my employer, colleagues, or any affiliated organizations. Unless explicitly stated otherwise, this content was generated without the use of any generative AI or large language models (LLMs); all information presented here is solely the result of human input and research.

I may provide links to external websites for convenience or reference, but this does not constitute an endorsement of those sites or the content within them. I am not responsible for the content, accuracy, or reliability of any external websites.

All information is for informational purposes only and should not be construed as professional advice.

2025 Lauren Elizabeth Parlett, PhD - Epidemiologist. All rights reserved.

site admin | tag index | credits