Results 121 to 130 of about 30,395 (263)

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs (VA) Rheumatoid Arthritis Registry. Frailty was measured using the VA Frailty Index (VAFI).
Katherine D. Wysham, Hannah F. Brubeck, Aaron Baraff, Punyasha Roul, Namrata Singh, James S. Andrews, Grant W. Cannon, Gary A. Kunkel, Ted R. Mikuls, Bryant R. England, Dolores M. Shoback, Patricia P. Katz, Jose M. Garcia, Ariela R. Orkaby, Joshua F. Baker   +14 more
wiley   +1 more source

Application of self-organizing maps to AFM-based viscoelastic characterization of breast cancer cell mechanics. [PDF]

Sci Rep, 2023
Weber A, Vivanco MD, Toca-Herrera JL.
europepmc   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

Distributed Range-Free Localization Algorithm Based on Self-Organizing Maps

EURASIP Journal on Wireless Communications and Networking, 2010
In Mobile Ad Hoc Networks (MANETs), determining the physical location of nodes (localization) is very important for many network services and protocols.
Tinh PhamDoan, Kawai Makoto
doaj  

Self-Organizing Maps to Multidimensionally Characterize Physical Profiles in Older Adults. [PDF]

Int J Environ Res Public Health, 2022
Parra-Rodríguez L, Reyes-Ramírez E, Jiménez-Andrade JL, Carrillo-Calvet H, García-Peña C.   +4 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Self-organizing maps for allele specific expression data reconstruction and identification of anomalous genomic regions. [PDF]

Front Bioinform
Pagliarini R, Nascimben F, Policriti A.
europepmc   +1 more source

Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks. [PDF]

J Pers Med, 2023
Rankovic N, Rankovic D, Lukic I, Savic N, Jovanovic V.   +4 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Facies classification and channel detection for reservoir characterization using self-organizing maps in geologically complex Groningen gas field, the Netherlands. [PDF]

Sci Rep
El-Attar S, El-Werr AK, Abdel-Rahman EM, Sobhy MN.   +3 more
europepmc   +1 more source