Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review. [PDF]
Rajwal S +8 more
europepmc +1 more source
Natural Language Processing of Clinical Notes for Cancer Research and Patient Care Prior to Widespread Adoption of Generative AI: Scoping Review. [PDF]
Kayira AB +5 more
europepmc +1 more source
Measuring New Venture Legitimacy: A Multi‐dimensional Approach Using Computational Textual Analysis
Abstract Legitimacy is critical for the growth, survival and performance of ventures, yet efforts to measure legitimacy empirically typically focus on a single dimension of this multi‐dimensional construct. In this article, we develop a multi‐dimensional framework for measuring legitimacy using computational text analysis.
Ali Ghods +3 more
wiley +1 more source
Contemporary artificial intelligence (AI) technologies are often presumed to be capable of revealing unmediated truths about the world, including the truths language might hold, echoing the long‐standing assertion that language's primary function is to directly translate reality.
Beth M. Semel
wiley +1 more source
A fairness framework for natural language processing in substance use disorders and overdose. [PDF]
Zhu DT, Mitragotri S, Tamang S.
europepmc +1 more source
Human Capital Disclosure and Labor Market Outcomes: Evidence from Regulation S‐K
ABSTRACT We examine the labor market consequences of the 2020 Regulation S‐K requiring human capital disclosure in 10K filings. Using large‐sample job‐level data and a Generative Large Language Model (GLLM), we observe that public firms subject to the regulation increase their disclosure of diversity, equity, and inclusion (DEI) information in job ...
Jung Ho Choi, Dan Li, Daniele Macciocchi
wiley +1 more source
Extracting Signs and Symptoms of Hypertensive Disorders in Pregnancy from Clinical Notes Using Natural Language Processing. [PDF]
Scroggins JK +4 more
europepmc +1 more source
Text mining for case report articles on “peritoneal dialysis” from PubMed database
Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima +6 more
wiley +1 more source

