Results 181 to 190 of about 3,923,016 (254)

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

Arthritis Care &Research, Accepted Article.
Objective The aim of this systematic review was to synthesise 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

DiMB-RE: mining the scientific literature for diet-microbiome associations. [PDF]

J Am Med Inform Assoc
Hong G, Hindle V, Veasley NM, Holscher HD, Kilicoglu H.   +4 more
europepmc   +1 more source

Virtual or in‐person: does it matter? Comparing pain, function, quality of life, self‐efficacy and physical function outcomes of virtual, hybrid and in‐person GLA:D Canada participants

Arthritis Care &Research, Accepted Article.
Objective This study aimed to determine if program format (in‐person, virtual, hybrid) results in differences in three‐month outcomes of pain, function, quality of life, self‐efficacy and chair stands in a hip/knee osteoarthritis management program. Methods A secondary analysis of the GLA:DTM Canada database was completed.
Jill Van Damme, Vanina Dal Bello‐Haas, Ayse Kuspinar, Patricia Strachan, Michael Zywiel, James Young, Rhona McGlasson, Lisa C. Carlesso   +7 more
wiley   +1 more source

Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation. [PDF]

Sci Rep
Cassidy B, McBride C, Kendrick C, Reeves ND, Pappachan JM, Raad S, Yap MH.   +6 more
europepmc   +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, Accepted Article.
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, 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

Physician Referral Patterns to Physical Therapists for Managing Knee Osteoarthritis: A Retrospective Analysis of Electronic Health Records from an Integrated Health System

Arthritis Care &Research, Accepted Article.
Objectives This study aims to describe the frequency and timing of physician referrals to physical therapists (PT) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja, Joel M. Stevans, Gustavo J. Almeida, Clair Smith, Janet K. Freburger   +4 more
wiley   +1 more source

Predicting retracted research: a dataset and machine learning approaches. [PDF]

Res Integr Peer Rev
Fletcher AHA, Stevenson M.
europepmc   +1 more source

Decision aids in patients with osteoporosis: A scoping review. [PDF]

PLoS One
Fang Y, Jia Q, Dai Y, Li S.
europepmc   +1 more source

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

International 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, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

The performance of artificial intelligence in image-based prediction of hematoma enlargement: a systematic review and meta-analysis. [PDF]

Ann Med
Fan W, Wu Z, Zhao W, Jia L, Li S, Wei W, Chen X.   +6 more
europepmc   +1 more source