Results 181 to 190 of about 1,895,969 (377)

Where, How, and How Much? A Multicenter Cohort Study of the Relationship Across Lupus Decision‐Aid Modality, Place of Administration, Interruption and Viewing Completeness, and Patient‐Reported Outcomes

Arthritis Care &Research, EarlyView.
Objective We assessed whether shared decision‐making (SDM) and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE) differs by PtDA setting, modality, and the viewing experience. Methods Patients with SLE were invited to view a self‐administered
Jasvinder A. Singh, Mark Beasley, Larry R. Hearld, for the Implementing Decision‐Aid for Lupus in Clinics (IDEAL) Consortium, Winn Chatham, Jasvinder Singh, Sonali Narain, Narender Annapureddy, Diane Kamen, Kimberly Trotter, Vikas Majithia, Cathy Ching, Zineb Aouhab, Swamy Venturupalli, Rosalind Ramsey‐Goldman, Alfred Kim, Maureen McMahon, Sam Lim, Kalpana Bhairavarasu, Alexa Meara, Kenneth Kalunian   +20 more
wiley   +1 more source

Semantically Expanded Spoken Term Detection

IEEE Access
Spoken term detection (STD) is effectively implemented using fundamental techniques such as automatic speech recognition (ASR) and information retrieval.
Zhanibek Kozhirbayev, Zhandos Yessenbayev   +1 more
doaj   +1 more source

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

Arthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

A New Approach for Query Expansion using Wikipedia and WordNet [PDF]

Information Sciences, 2019
Dr. Hiteshwar Kumar Azad, A. Deepak
semanticscholar   +1 more source

Lived and care experiences of chronic musculoskeletal shoulder pain in Australian adults: A qualitative study

Arthritis Care &Research, Accepted Article.
Objectives Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centred care and informing local service pathways and care guidelines or standards.
Sonia Ranelli, Joanne E. Jordan, Ilana N. Ackerman, Alison Thorpe, Jennifer G. Persaud, Linda J. Woodhouse, Jason Chua, Ben Horgan, Andrew M. Briggs   +8 more
wiley   +1 more source

Improvements in Health‐Related Quality of Life with Treat‐to‐Target Urate‐Lowering Therapy in Gout: A Post‐hoc Analysis of a Randomized Multicenter Trial

Arthritis Care &Research, Accepted Article.
Background While treat‐to‐target urate‐lowering therapy (ULT) is endorsed as best practice in gout management, limited data exist on its impact on health‐related quality of life (HRQoL). We assessed the impact of treat‐to‐target ULT on HRQoL among participants receiving protocolized gout care, identifying factors associated with HRQoL and HRQoL change.
Austin Barry, Bryant R. England, Harlan Sayles, Lindsay N. Helget, Maria Androsenko, Hongsheng Wu, Kaleb Michaud, Bridget Kramer, Jeff A. Newcomb, Mary T. Brophy, Anne Davis‐Karim, Ryan Ferguson, Michael H. Pillinger, Tuhina Neogi, Paul M. Palevsky, James R. O'Dell, Ted R. Mikuls   +16 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, Accepted Article.
Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis (RA) and juvenile idiopathic arthritis (JIA) in electronic health records (EHRs). Methods We searched MEDLINE, Embase, and CENTRAL databases and included studies that validated case definitions against a reference standard such ...
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

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves

Advanced Biology, EarlyView.
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert, Nick Seinsche, Sören Bartels, Tom Masselter, Thomas Speck   +4 more
wiley   +1 more source

A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study

Advanced Biology, EarlyView.
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers, Maximilian Hausherr, Michel Lim, Karin Schork, Bilhan Karacora, Robin Grugel, Martin Eisenacher, Isabel Gil Aldea, Peter Riederer, Manfred Gerlach, Katrin Marcus   +10 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source