Results 181 to 190 of about 1,085,855 (260)

Avoidable Hospitalizations in Persons With Rheumatoid Arthritis: A Population‐Based Study Using Administrative Data

open access: yesArthritis Care &Research, EarlyView.
Objective We estimated incidence rates of avoidable hospitalizations by persons with rheumatoid arthritis (RA) relative to the general population. Methods We identified individuals meeting a validated case definition for RA based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) and ICD‐10‐CA codes in years ...
Dani G. Contreras   +6 more
wiley   +1 more source

Moderators and Mediators of Pain and Function Outcomes in a New Service Delivery Model for Management of Knee Osteoarthritis in Primary Care: Secondary Exploratory Analysis of a Randomized Controlled Trial

open access: yesArthritis Care &Research, EarlyView.
Objective Our objective was to explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (Optimizing Primary Care Management of Knee Osteoarthritis [PARTNER]), at 12 months (ACTRN: 12617001595303).
Abdolhay Farivar   +12 more
wiley   +1 more source

Association Between Sleep Disturbance and Subsequent Pain Interference in Patients With Early Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective This study investigated whether sleep disturbance can predict the extent to which pain interferes with daily functioning in patients with early rheumatoid arthritis (RA). Methods Data were from adults with early RA (joint symptoms ≤12 months) enrolled in the Canadian Early Arthritis Cohort between 2016 and 2023.
Burcu Aydemir   +16 more
wiley   +1 more source

VirulentHunter: deep learning-based virulence factor predictor illuminates pathogenicity in diverse microbial contexts. [PDF]

open access: yesBrief Bioinform
Chen C   +10 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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