Results 241 to 250 of about 51,786 (296)

Deep learning-based natural language processing for critical care identification in pediatric emergency department. [PDF]

BMC Emerg Med
Kim JA, Cho S, Hwang M, Lee D, Jeon J, Lee R, Lee C, Kim J, Bae W.   +8 more
europepmc   +1 more source

The Meaning of Work in the Digital Era: A Systematic Review and Research Agenda

Human Resource Management Journal, EarlyView.
ABSTRACT As digital technologies continue to reshape the nature of work, their impact on workers' experience of the meaning of work has attracted growing scholarly interest. However, the existing body of findings remains largely fragmented and conceptually inconsistent.
Yukun Liu, Qi Fang, Yasin Rofcanin, Mireia Las Heras, Xiao‐Yun Xie   +4 more
wiley   +1 more source

Text mining methods for automated data extraction from health technology assessment reports of medicines using classical natural language processing and generative artificial intelligence. [PDF]

JAMIA Open
Versteeg JW, De Bruin ML, Schermer M, Nadi Najafabadi S, Mitra M, Leopold C, Mantel-Teeuwisse AK, Goettsch WG, Bloem LT.   +8 more
europepmc   +1 more source

Natural Language Processing of Large Numbers of Radiology Reports in a Public Health System to Extract Structured Data, With a Test Case of CT KUB

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Background Natural language processing (NLP) was used to extract structured information from large numbers of radiology reports with the aim of showing the feasibility of this approach for system monitoring, conducting clinical research and improving practice.
Michael Birry, Craig Roach, Daniel A. Hunter‐Philpott, Anthony J. Doyle   +3 more
wiley   +1 more source

Uncovering advanced transfer learning strategies for deep neural networks in natural language processing. [PDF]

Sci Rep
Abbassy MM, Ead WM, El-Shora AIA, Aboalndr AM.   +3 more
europepmc   +1 more source

Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?

Global Policy, EarlyView.
ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley   +1 more source

Systematic Review of Large Language Models and Natural Language Processing in Stroke Care: Applications, Challenges, and Future Directions. [PDF]

Stroke Vasc Interv Neurol
Duarte KTN, Sidhu AS, Bakshi M, de Barros MC, Karmur B, Aslan T, Zhang D, AlShamrani M, Qiu W, Menon BK.   +9 more
europepmc   +1 more source

Seeing Clearly or Bracing for Impact? The Tug‐of‐War Between Neutrality and Conservatism in Financial Reporting Voir clair ou se préparer à l'impact? Le bras de fer entre neutralité et conservatisme en matière d'information financière

Accounting Perspectives, EarlyView.
ABSTRACT A long‐standing debate exists between neutrality and conservatism in financial reporting. This debate has gained momentum following the 2010 FASB decision to remove the term conservatism from its Conceptual Framework. While neutrality is now promoted as a cornerstone of faithful representation, conservatism remains embedded in numerous ...
Rahat Jafri, Anup Srivastava, Hussein Warsame   +2 more
wiley   +1 more source

Transformer-based NLP approaches for credit risk prediction: a systematic review. [PDF]

Front Artif Intell
Raliphada P, Olukanmi S, Olusanya M.
europepmc   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source