Results 221 to 230 of about 315,736 (266)

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases

Arthritis Care &Research, EarlyView.
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci, Megan R. W. Barber, Ann E. Clarke, Sindhu R. Johnson, Anselm Mak, Hermine I. Brunner, Murat Inanc, Rosalind Ramsey‐Goldman, Guillermo Ruiz‐Irastorza, Ellen M. Ginzler, John G. Hanly, Alexandra Legge, Cynthia Aranow, Laurent Arnaud, Nathalie Costedoat‐Chalumeau, Dafna D. Gladman, Søren Jacobsen, Michelle Petri, Clovis A. Silva, Évelyne Vinet, Alexandre E. Voskuyl, SDI Revision Literature Review Groups, SDI Revision Delphi Panel, SDI Revision Item Reduction Committee, SDI Revision Clinical Domain Groups, Ian N. Bruce   +25 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

Arthritis Care &Research, Accepted Article.
Objective VEXAS syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures. A VEXAS‐specific disease activity index (DAI) is an essential tool for reliably capturing changes in disease ...
Kevin Byram, Heřman Mann, Danielle Hammond, Onima Chowdhury, Sinisa Savic, Yohei Kirino, Carmelo Gurnari, Maël Heiblig, Thibault Comont, Arsène Mekinian, Mrinal M. Patnaik, Lachelle D. Weeks, Gary Ho, Adam Al‐Hakim, Scott Goldberg, Marcela A. Ferrada, Sophie Georgin‐Lavialle, Peter C. Grayson, Emma M. Groarke, Bhavisha Patel, Megan Sullivan, Sarah A. Buckley, Bryan G. Harder, Raman Garcha, David B. Beck, Matthew J. Koster   +25 more
wiley   +1 more source

Clinician and Patient Factors Associated With Long‐Term Glucocorticoid Use in People With Rheumatoid Arthritis Receiving Advanced Therapies

Arthritis Care &Research, EarlyView.
Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George, George Reed, Matthew D. Kearney, Peter F. Cronholm, Kevin Kane, Jeffrey R. Curtis, Dimitrios A. Pappas, Joel M. Kremer   +7 more
wiley   +1 more source

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Robust CARA Optimization

Operations Research, 2021
Decision making under uncertainty involves both ambiguity and risk. In “Robust CARA Optimization,” Chen and Sim have developed innovative optimization models designed for ambiguity-averse decision makers whose risk preference is consistent with constant absolute risk aversion (CARA).
Li Chen, Melvyn Sim
openaire   +2 more sources

Robustness, Optimization, and Architectures

European Journal of Control, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lijun Chen 0001, Fiona Chandra, Dennice F. Gayme, John C. Doyle 0001   +3 more
openaire   +2 more sources

Robust Convex Optimization

Mathematics of Operations Research, 1998
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U. The ensuing optimization problem is called robust optimization. In this paper we lay the foundation of robust convex optimization.
Aharon Ben-Tal, Arkadi Nemirovski
openaire   +2 more sources

An uncertain minimization problem: robust optimization versus optimization of robustness

Optimization Letters, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moussa Barro, Sado Traoré
openaire   +1 more source

Robust Multiobjective Optimization With Robust Consensus

IEEE Transactions on Fuzzy Systems, 2018
Consider a multiobjective robust optimization problem, where a set of weighted decision makers provides their preferences a priori . The preferences are provided either in the objective space or in the decision variable space using fuzzy numbers. To solve this problem, an indicator to measure consensus, an indicator to measure the robustness of the ...
Kaustuv Nag, Tandra Pal 0001, Rajani K. Mudi, Nikhil R. Pal   +3 more
openaire   +1 more source