Results 101 to 110 of about 360,197 (329)

Economic Burden of Rheumatoid Arthritis in Low‐ and Middle‐Income Countries: Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
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, Chidozie E. Mbada, Clara T. Fatoye, Faatihah Niyi‐Odumosu, Ushotanefe Useh, Zalmai Hakimi, Francis Fatoye   +6 more
wiley   +1 more source

Random forest regression for predicting an anomalous condition on a UR10 cobot end-effector from purposeful failure data

, 2021
Ethan Wescoat, Matthew Krugh, Laine Mears   +2 more
openalex   +1 more source

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

Arthritis 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, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

The Problem of Redundant Variables in Random Forests

Acta Universitatis Lodziensis. Folia Oeconomica, 2018
Random forests are currently one of the most preferable methods of supervised learning among practitioners. Their popularity is influenced by the possibility of applying this method without a time consuming pre processing step. Random forests can be used
Mariusz Kubus
doaj   +1 more source

Oblique random survival forests

The Annals of Applied Statistics, 2019
We introduce and evaluate the oblique random survival forest (ORSF). The ORSF is an ensemble method for right-censored survival data that uses linear combinations of input variables to recursively partition a set of training data. Regularized Cox proportional hazard models are used to identify linear combinations of input variables in each recursive ...
Jaeger, Byron C., Long, D. Leann, Long, Dustin M., Sims, Mario, Szychowski, Jeff M., Min, Yuan-I, Mcclure, Leslie A., Howard, George, Simon, Noah   +8 more
openaire   +3 more sources

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

Arthritis 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, Dylan Hansen, Rangi Kandane‐Rathnayake, Worawit Louthrenoo, Yi‐Hsing Chen, Jiacai Cho, Aisha Lateef, Laniyati Hamijoyo, Shue Fen Luo, Yeong‐Jian Jan Wu, Sandra Navarra, Leonid Zamora, Zhanguo Li, Sargunan Sockalingam, Yasuhiro Katsumata, Masayoshi Harigai, Zhuoli Zhang, Madelynn Chan, Jun Kikuchi, Tsutomu Takeuchi, Sang‐Cheol Bae, Fiona Goldblatt, Sean O'Neill, Kristine (Pek Ling) Ng, Annie Law, B. M. D. B. Basnayake, Nicola Tugnet, Sunil Kumar, Cherica Tee, Michael Tee, Naoaki Ohkubo, Yoshiya Tanaka, Shirley Chan, C. S. Lau, Vera Golder, Alberta Hoi, Shereen Oon, Eric Morand, Mandana Nikpour, for the Asia‐Pacific Lupus Collaboration   +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

Arthritis 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, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +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

Arthritis 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, Jessica Bennett, Yara Alkabti, Muhammad Fatir, Barbara Clyne, Caroline McCarthy, Gráinne Tynan, Nikki Dunne, Michelle Flood, Eoghan McCarthy, Frank Moriarty   +10 more
wiley   +1 more source

Sparse Projection Oblique Randomer Forests

, 2019
Decision forests, including Random Forests and Gradient Boosting Trees, have recently demonstrated state-of-the-art performance in a variety of machine learning settings.
Browne, James, Burns, Randal, Chung, Jaewon, Falk, Benjamin, Maggioni, Mauro, Patsolic, Jesse L., Priebe, Carey E., Shen, Cencheng, Tomita, Tyler M., Vogelstein, Joshua T., Yim, Jason   +10 more
core  

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

Arthritis 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, Marcela A. Ferrada, Alice Fike, Kaitlin A. Quinn, Benjamin A. Turturice, Casey Stein, Peter C Grayson   +6 more
wiley   +1 more source