Results 21 to 30 of about 100,889 (161)

Remarkable properties for diagnostics and inference of ranking data modelling [PDF]

open access: yesBritish Journal of Mathematical and Statistical Psychology, 2022
The Plackett‐Luce model (PL) for ranked data assumes the forward order of the ranking process. This hypothesis postulates that the ranking process of the items is carried out by sequentially assigning the positions from the top (most liked) to the bottom (least liked) alternative.
Cristina Mollica, Luca Tardella
openaire   +4 more sources

Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development

open access: yesJournal of Medical Internet Research, 2020
BackgroundAssigning meaningful probabilities of SARS-CoV-2 infection risk presents a diagnostic challenge across the continuum of care. ObjectiveThe aim of this study was to develop and clinically validate an adaptable, personalized ...
D'Ambrosia, Christopher   +2 more
doaj   +1 more source

Selection bias and inferential validity in fever of unknown origin studies. Comment on: Poposki et al. Visceral leishmaniasis as a leading cause of fever of unknown origin in immunocompetent adults [PDF]

open access: yesFolia Medica
The article by Poposki et al. on visceral leishmaniasis as a cause of fever of unknown origin presents clinically valuable observations but exhibits substantial methodological limitations.
Kostadin Kostadinov
doaj   +3 more sources

Simultaneous inference for factorial multireader diagnostic trials

open access: yesStatistics in Medicine, 2017
We study inference methods for the analysis of multireader diagnostic trials. In these studies, data are usually collected in terms of a factorial design involving the factors Modality and Reader. Furthermore, repeated measures appear in a natural way since the same patient is observed under different modalities by several readers and the repeated ...
Frank Konietschke   +2 more
openaire   +4 more sources

Nonparametric predictive inference for comparison of two diagnostic tests [PDF]

open access: yesCommunications in Statistics - Theory and Methods, 2020
An important aim in diagnostic medical research is comparison of the accuracy of two diagnostic tests.
Alabdulhadi, M.   +2 more
openaire   +2 more sources

Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases

open access: yesJournal of Intelligent Systems, 2011
A generalized Bayesian inference nets model (GBINM) is proposed to aid researchers to construct Bayesian inference nets for various applications. The benefit of such a model is well demonstrated by applying GBINM in constructing a hierarchical Bayesian ...
Sekar Booma Devi   +2 more
doaj   +1 more source

Active Learning for Repairable Hardware Systems With Partial Coverage

open access: yesIEEE Access
Identifying the optimal diagnostic test and hardware system instance to infer reliability characteristics using field data is challenging, particularly when constrained by fixed budgets and minimal maintenance cycles.
Michael L. Potter   +3 more
doaj   +1 more source

DECLARE: A Comprehensive, Multifaceted Cognitive Forcing Strategy to Confront Complex Cases

open access: yesInternational Journal of General Medicine, 2023
Taro Shimizu Department of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Mibu, Tochigi, JapanCorrespondence: Taro Shimizu, Department of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Dokkyo Medical ...
Shimizu T
doaj  

Bayesian inference using JET’s microwave diagnostic system [PDF]

open access: yesNuclear Fusion, 2020
At the JET tokamak, three electron cyclotron emission (ECE) diagnostics (two Martin-Puplett interferometers and a heterodyne radiometer) and a reflectometer form the basic microwave diagnostic system. The standard analysis approaches deduce electron density and temperature profiles independently of each diagnostic measurement.
S. Schmuck   +4 more
openaire   +4 more sources

Fault inference diagnosis based on causal network and large language model-enhanced knowledge graph network

open access: yesChinese Journal of Mechanical Engineering
Current research in mechanical fault inference diagnosis primarily relies on knowledge graph networks (KGN) for reasoning. Compared to traditional diagnostic methods, KGN offers advantages in knowledge representation, but it suffers from insufficient ...
Zhen Guo   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy