Results 71 to 80 of about 39,393 (243)
Predicting intensive care unit length of stay: comparing physician assessments with software predictions in a multicenter study [PDF]
Objective: To compare the predictive abilities of medical professionals and the Epimed Monitor Performance© (EMP) software for intensive care unit length of stay and to assess EMP software effectiveness in identifying patients at risk of prolonged stays.
Thiago Tavares dos Santos +6 more
doaj +1 more source
Abstract Algorithms, commonly used in business practice, often discriminate against members of protected classes (e.g. racial minorities). Previous research findings suggest that individuals, including those from protected classes, under some circumstances, may not respond negatively to discriminatory algorithms.
Gülen Sarial‐Abi, Verdiana Giannetti
wiley +1 more source
Writing Against the Machine: Computational Authorship and Historical Writing
Abstract Historians generate knowledge through the labour of composition – through the friction between interpretation and evidence that makes claims open to scrutiny and challenge. This essay argues that when composition is bypassed, that structure disappears. Generative AI raises this issue in urgent fashion.
CHRISTOPHER GERTEIS
wiley +1 more source
• Introduction: Database evaluation indicators include management, content, technical, and search indicators. A database must have a high level of information retrieval. As search features is one of the most important factors in database evaluation, this
Shahin Mojiri +2 more
doaj
Using Large Language Models to Address Contextual Questions in Systematic Reviews. [PDF]
ABSTRACT Objectives Systematic evidence reviews (SERs) produced by the U.S. Agency for Healthcare Research and Quality (AHRQ) Evidence‐based Practice Center (EPC) Program use contextual questions to provide context and background information on the topic. There is currently no standardized approach to address contextual questions in systematic reviews.
Hempel S +7 more
europepmc +2 more sources
EPISTEMIC EXTRACTIVISM IN ENGAGED URBAN AND HOUSING RESEARCH: Implications and Counter‐measures
Abstract What is ‘epistemic extractivism’, and how does it affect researchers who are engaged in urban and housing movements? This essay first explores the contexts of both engaged research and epistemic extractivism, clarifying their meanings and implications. It also disentangles the ethical and methodological risks posed by epistemic extractivism in
Miguel A. Martínez
wiley +1 more source
Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder
Sequential pattern mining is a dynamic and thriving research field that aims to extract recurring sequences of events from complex datasets. Traditionally, focusing solely on the order of events often falls short of providing precise insights ...
Hareth Zmezm +3 more
doaj +1 more source
The Meaning of Work in the Digital Era: A Systematic Review and Research Agenda
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 +4 more
wiley +1 more source
The article studies word formation of the derogatory marked ethnonyms (DME) of the Canadian, Australian and New Zealand English Language. DME are classified according to the method of word formation, the type of semantic transfer and deliberate phonetic ...
Tsebrovskaya Tatyana Alexandrovna
doaj +1 more source
ABSTRACT Artificial intelligence (AI) tools are used to assist auditors in analyzing large amounts of data, automating audit tasks, and identifying risks and opportunities. AI can help improve the efficiency and accuracy of the auditing process as well as create value for both audit firms and their clients.
Nicolas Epelbaum +1 more
wiley +1 more source

