Results 51 to 60 of about 283,509 (287)
An Industrial Fault Diagnostic System Based on a Cubic Dynamic Uncertain Causality Graph
Sensors, 2022 This study presents an industrial fault diagnosis system based on the cubic dynamic uncertain causality graph (cubic DUCG) used to model and diagnose industrial systems without sufficient data for model training.
Xusong Bu +3 more
doaj +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
Mixed prototype correction for causal inference in medical image classification
Scientific ReportsThe heterogeneity of medical images poses significant challenges to accurate disease diagnosis. To tackle this issue, the impact of such heterogeneity on the causal relationship between image features and diagnostic labels should be incorporated into ...
Zhi-Liang Hong +3 more
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Hybrid approach of type-2 fuzzy inference system and PSO in asthma disease
Clinical eHealthThis research work presents a hybrid approach combining a type-2 fuzzy inference system with particle swarm optimization (PSO) to develop a type-2 fuzzy optimized inference system, specifically tailored for asthma patient data.
Tarun Kumar +4 more
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FUZZY DIAGNOSTİCS OF SOİLS ACCORDİNG TO THE WORLD REFERENCE BASE FOR SOİL RESOURCES
Сучасні інформаційні системи, 2020 Soil classification remains one of the most controversial topics in the world soil science because of differences in the principles underlying it. As of today, many countries have developed and use their own national classifications.
Samira Afrasiyab Hasanova +2 more
doaj +1 more source
, 2017 [Context] Defect Causal Analysis (DCA) represents an efficient practice to improve software processes. While knowledge on cause-effect relations is helpful to support DCA, collecting cause-effect data may require significant effort and time.
Curty, Pablo +7 more
core +1 more source
Extending exploratory diagnostic classification models: Inferring the effect of covariates
British Journal of Mathematical and Statistical Psychology, 2023 Abstract Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine‐grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods ...
Hulya Duygu Yigit +1 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease
Clinical eHealthAccurate disease monitoring is an extremely time-consuming task for medical experts and technocrats involved, requiring technical support for diagnostic systems.
M.K. Sharma +3 more
doaj +1 more source
Frontiers in Veterinary Science, 2018 Estimates of disease prevalence in any host population are complicated by uncertainty in the outcome of diagnostic tests on individuals. In the absence of gold standard diagnostics (tests that give neither false positives nor false negatives), Bayesian ...
Jenni L. McDonald, Dave James Hodgson
doaj +1 more source