Results 191 to 200 of about 262,049 (253)

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang, Rui Zhang, Haiyan Ma, Lu Yang, Xuefeng Qu, Qiqi Chen, Yan Zhang   +6 more
wiley   +1 more source

Discordance Between Systemic Lupus Erythematosus Disease Activity Index Domain Weights and Their Association With Organ Damage Accrual

Arthritis Care &Research, EarlyView.
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1–8) assigned to each domain.
Kevin Zhang, Eric F. Morand, Sarah E. Boyd, François Petitjean, Alberta Hoi, Rachel Koelmeyer, Iolanda Miceli, Julie A. Monk, Hieu T. Nim   +8 more
wiley   +1 more source

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

Arthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada, Marcos Rafael N. Cavalcante, Itamar de Souza Santos, Márcio S. Bittencourt, Vandrize Meneghini, Paulo A. Lotufo, Alessandra C. Goulart, Isabela M. Bensenor   +7 more
wiley   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

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Failure Mode and Effects Analysis

Journal of Patient Safety, 2010
To empirically compare 2 different commonly used failure mode and effects analysis (FMEA) scoring procedures with respect to their resultant failure mode scores and prioritization: a mathematical procedure, where scores are assigned independently by FMEA team members and averaged, and a consensus procedure, where scores are agreed on by the FMEA team ...
Ashley, L.J., Armitage, Gerry R.
openaire   +3 more sources

Is Failure Mode and Effect Analysis Reliable?

Journal of Patient Safety, 2009
To test the reliability of failure mode and effect analysis (FMEA) within a hospital setting in the United Kingdom.Two multidisciplinary groups were recruited, within 2 hospitals from the same National Health Services (NHS) Trust, to conduct separate FMEAs in parallel on the same topic.
Nada Atef, Shebl, Bryony Dean, Franklin, Nick, Barber   +2 more
openaire   +2 more sources

A stochastic approach for failure mode and effect analysis

RAIRO - Operations Research, 2017
This study presents a novel approach combining Failure Mode and Effect Analysis (FMEA) and Multi-Attributive Border Approximation Area Comparison (MABAC) method based on a stochastic evaluation process to prioritize potential failure modes (FMs) in an assembly line.
Elif Kiliç Delice, Gülin Feryal Can
openaire   +2 more sources

Failure mode and effects analysis by data envelopment analysis

Decision Support Systems, 2009
Failure mode and effects analysis (FMEA) is a method that examines potential failures in products or processes and has been used in many quality management systems. One important issue of FMEA is the determination of the risk priorities of failure modes.
Jian-Bo Yang, Kwai Sang Chin, Gary Ka Kwai Poon   +2 more
exaly   +4 more sources

Fuzzy Hierarchical Failure Mode and Effect Analysis

2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY), 2021
Due to increased quality requirements, the optimization of automotive industry has become a crucial issue. However, measuring all the factors affecting quality in both time-as well as cost-consuming, and in many cases not feasible at all. This is why the importance of predictive models has enhanced.
Laszlo Pokoradi, Sinan Koçak, Edit Tóth-Laufer   +2 more
openaire   +2 more sources

Software Failure Mode and Effects Analysis

2020
Failure Mode and Effects Analysis (FMEA) is a key safety assessment analysis that determine failure modes at system, hardware and software level. Overlooking Failure Modes can often cause system or functionality failure which directly impacts a systems safety performance, reliability and quality. FMEA is a bottom-up approach which has four key phases -
openaire   +1 more source