Results 51 to 60 of about 24,192 (287)
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Causality, Propensity and Bayesian Networks [PDF]
The notion of a Bayesian propensity network is introduced, and the relations between such networks and causal networks is investigated. It is argued that causal networks cannot be identified with Bayesian propensity networks, but that causal networks can
Gillies, D, Gillies, DA
core
We investigate the potential of a new citizen science paradigm that facilitates collaborative learning between humans and artificial intelligence (AI).
Nirwan Sharma +7 more
doaj +1 more source
BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks
The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed (discrete and continuous).
Han Yu +2 more
doaj +1 more source
High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello +5 more
wiley +1 more source
Bayesian Reasoning and Machine Learning [PDF]
Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly.
openaire +1 more source
Trajectories of Physical Function in Canadian Children With Juvenile Idiopathic Arthritis
Objective We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham +81 more
wiley +1 more source
The Three Prisoners Problem Revisited: issues in the use of Bayesian networks for security applications [PDF]
Bayesian networks are a type of causal network used for probabilistic reasoning, which have found wide application in biomedical environments and machine vision.We have considered their application in the realm of security, where behaviour that is ...
Pickering, Jonathan, Xu, Zhijie
core
Combatting bayesian criticism: a bayesian-inspired critical checklist for judicial reasoning
This paper develops a Bayesian-inspired checklist of critical questions designed to support probabilistic reasoning in legal contexts. Building on Mackor’s (2026) proposal, rather than requiring formal Bayesian models or numerical probabilities, the ...
Leya Lisa Hampson
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source

