Results 121 to 130 of about 6,285,017 (364)

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

open access: yesArthritis Care &Research, EarlyView.
Objective 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 Worldwide Collaboration ...
Myrthe A. van den Berg   +26 more
wiley   +1 more source

Prevalence, Determinants, and Outcomes of Low Disease Activity and Remission Attainment in Patients With Systemic Lupus Erythematosus That Is Clinically Active

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to identify in patients with systemic lupus erythematosus (SLE) with clinically active disease the attainment of frequency and determinants of Lupus Low Disease Activity State (LLDAS) and Definition of Remission in SLE (DORIS) and the frequency and determinants of flare and damage accrual after target attainment.
Yanjie Hao   +39 more
wiley   +1 more source

Exploring Patients’ Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial

open access: yesArthritis Care &Research, EarlyView.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart   +14 more
wiley   +1 more source

Random forest versus logistic regression: a large-scale benchmark experiment

open access: yesBMC Bioinformatics, 2018
The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation ...
R. Couronné   +2 more
semanticscholar   +1 more source

Accuracy of Diagnostic Codes and Algorithms Used to Identify Rheumatoid Arthritis and Juvenile Idiopathic Arthritis in Administrative Claims and Electronic Health Records: Systematic Review and Meta‐Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis and juvenile idiopathic arthritis in electronic health records. Methods We searched Medline, Embase, and Cochrane Central Register for Controlled Trials databases and included studies that validated case definitions against a ...
Constanza Saka‐Herrán   +10 more
wiley   +1 more source

Monocular Road Detection Using Structured Random Forest

open access: yesInternational Journal of Advanced Robotic Systems, 2016
Road detection is a key task for autonomous land vehicles. Monocular vision-based road-detection algorithms are mostly based on machine learning approaches and are usually cast as classification problems.
Liang Xiao   +4 more
doaj   +1 more source

DPRF: A Differential Privacy Protection Random Forest

open access: yesIEEE Access, 2019
Providing privacy protection for classification algorithms has become a research hotspot in current data mining. In this paper, differential privacy is applied to the random forest classification algorithm, and a random forest algorithm based on ...
Jun Hou   +5 more
doaj   +1 more source

Performance Characteristics of Anti‐Collagen II Antibodies in Relapsing Polychondritis and Related Diseases: Prospective Analysis, Systematic Review, and Meta‐Analysis

open access: yesArthritis Care &Research, Accepted Article.
Background Relapsing polychondritis (RP) is a rare disease defined by recurrent cartilaginous inflammation. Anti‐collagen II (anti‐Col2) antibodies have been proposed as a diagnostic biomarker for RP, but their performance characteristics are not well defined.
Karyssa Stonick   +6 more
wiley   +1 more source

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