Results 141 to 150 of about 597,340 (250)

Validation of Patient‐Reported Outcomes Measurement Information System® (PROMIS®) Pediatric Measures for Children with Chronic Nonbacterial Osteomyelitis

open access: yesArthritis Care &Research, Accepted Article.
Objectives To assess the validity of the Patient‐Reported Outcomes Measurement Information System® (PROMIS®) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert   +43 more
wiley   +1 more source

Associations of Frailty with the Risk of Incident Cancer and Cancer‐related Mortality in Veterans with Rheumatoid Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective To investigate the association between frailty and cancer incidence and mortality in patients with rheumatoid arthritis (RA). The study aimed to identify how frailty influences cancer risk, and cancer‐specific outcomes. Methods This retrospective cohort study analyzed data from the Veterans Affairs Rheumatoid Arthritis (VARA) registry (2002 ...
Bhavik Bansal   +12 more
wiley   +1 more source

Patient-reported quality of life in fibrotic interstitial lung disease: novel assessments of self-management ability and affect. [PDF]

open access: yesERJ Open Res, 2021
Moua T   +7 more
europepmc   +1 more source

Mapping the Social Network Structure and Composition of Black Individuals with Rheumatic and Musculoskeletal Conditions

open access: yesArthritis Care &Research, Accepted Article.
Objectives Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi   +27 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational 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   +2 more
wiley   +1 more source

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