Results 251 to 260 of about 31,512,198 (344)
A novel agricultural commodity price prediction model integrating deep learning and enhanced swarm intelligence algorithm. [PDF]
Sun K, Yao Q, Li Y.
europepmc +1 more source
Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye +6 more
wiley +1 more source
An Improved Variational Bayesian-Based Adaptive Federated Kalman Filter for Multi-Sensor Integrated Navigation Systems. [PDF]
Yan Y, Yang J.
europepmc +1 more source
Aspects of ill-conditioning in the Kohn variational method
James N. Cooper, E A G Armour
openalex +1 more source
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg +26 more
wiley +1 more source
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data. [PDF]
Kock L, Klein N, Nott DJ.
europepmc +1 more source
Objective Asymptomatic hyperuricemia is a precursor of gout and is also associated with cardiovascular disease and chronic kidney disease. The aim of this study was to understand perceptions about asymptomatic hyperuricemia and views about urate‐lowering therapy in people with asymptomatic hyperuricemia. Methods Participants in a multinational study of
Nicola Dalbeth +19 more
wiley +1 more source
A quantum-driven multi-stage framework integrating variational entanglement, reinforcement learning, and federated explainability for climate-resilient farming. [PDF]
Khan AH +5 more
europepmc +1 more source
Comparison of advanced signal decomposition techniques for the classification of PQDs by machine learning algorithms. [PDF]
Battula VVR, K P, K S.
europepmc +1 more source

