Results 161 to 170 of about 5,735,811 (287)

Effects of Causal Beliefs About Gout on Public Views About Gout Management: A Randomized Experimental Study

Arthritis Care &Research, EarlyView.
Objective Despite well‐described biologic causes, the public views unhealthy lifestyle choices as the primary cause of gout. This study investigated how causal beliefs about gout influence the public's views about its management. Methods In a randomized study, 201 members of the public viewed one of two 2‐minute videos about gout.
Rachel Murdoch, Borislav Mihov, Anne Horne, Keith J. Petrie, Gregory D. Gamble, Lachlan Fleck, Nicola Dalbeth   +6 more
wiley   +1 more source

The usage of artificial Intelligence-empowered text analysis model with convolutional neural network in english reading. [PDF]

Sci Rep
Huang Q, Zhao Y, Li W, Liu X.
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Development of an automated transformer-based text analysis framework for monitoring fire door defects in buildings. [PDF]

Sci Rep
Wang S.
europepmc   +1 more source

Discordance Between Patient and Physician Global Assessments in Early Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective This study aims to identify factors associated with patient global assessment (PtGA) and physician global assessment (PhGA) and discordance between them in systemic sclerosis (SSc). Methods Data from adults with early SSc (<5 years) from the Collaborative National Quality and Efficacy Registry were included.
Ellen Romich, Alexis Ogdie, Alisa Stephens Shields, Peter A. Merkel, Shervin Assassi, Elana J. Bernstein, Andreea Bujor, Flavia V. Castelino, Lorinda Chung, Luke B. Evnin, Tracy M. Frech, Jessica K. Gordon, Melissa Griffith, Faye N. Hant, Monica L. Harding, Laura K. Hummers, Dinesh Khanna, Kimberly S. Lakin, Dorota J. Lebiedz‐Odrobina, Yiming Luo, Ashima Makol, Maureen D. Mayes, Zsuzsanna H. McMahan, Jerry Molitor, Duncan F. Moore, Julie Paik, Carrie Richardson, Brian Skaug, Ami A. Shah, Ankoor Shah, Virginia Steen, John M. VanBuren, Elizabeth R. Volkmann, Carleigh Zahn, Nora Sandorfi, for the CONQUER Investigators   +35 more
wiley   +1 more source

Financial text analysis and credit risk assessment using a GPT-4 and improved BERT fusion model. [PDF]

PLoS One
Tan H, Xie Y.
europepmc   +1 more source

Detection of emotion by text analysis using machine learning. [PDF]

Front Psychol, 2023
Machová K, Szabóova M, Paralič J, Mičko J.   +3 more
europepmc   +1 more source

Perceived Impacts and Predictors of Cannabis Products used by Rheumatology Patients in Alberta: A Multivariable Analysis of Cross‐sectional Survey Data

Arthritis Care &Research, Accepted Article.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among rheumatology patients, and their associations with patient factors, patient reported perceived side effects and positive impacts. Methods An online survey (delivered from March to November 2022) was distributed by Alberta Health Services to ...
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

Comparative Analysis of Japanese Clinical Note Styles Between Physicians and Large Language Models Using Identical Psychiatric Cases: Quantitative Text Analysis. [PDF]

JMIR Form Res
Arihisa W, Nishiyama T, Wakamiya S, Aramaki E.   +3 more
europepmc   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source