Estimation of distribution algorithms

Results 111 to 120 of about 787,704 (278)

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source

EM Algorithms for nonparametric estimation of mixing distributions

Journal of Choice Modelling, 2008
Abstract This paper describes and implements three computationally attractive procedures for nonparametric estimation of mixing distributions in discrete choice models. The procedures are specific types of the well known EM (Expectation-Maximization) algorithm based on three different ways of approximating the mixing distribution nonparametrically ...
openaire +2 more sources

Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source

Reconsidering the use of race, sex, and age in clinical algorithms to address bias in practice: A discussion paper

International Journal of Nursing Studies Advances
Clinical algorithms are commonly used as decision-support tools, incorporating patient-specific characteristics to predict health outcomes. Risk calculators are clinical algorithms particularly suited for resource allocation based on risk estimation ...
Reanna Panagides, Jessica Keim-Malpass
doaj +1 more source

Tensor Network Estimation of Distribution Algorithms

Tensor networks are a tool first employed in the context of many-body quantum physics that now have a wide range of uses across the computational sciences, from numerical methods to machine learning. Methods integrating tensor networks into evolutionary optimization algorithms have appeared in the recent literature.
Gardiner, John, Lopez-Piqueres, Javier
openaire +2 more sources

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +15 more
wiley +1 more source

Preferences for Posttraumatic Osteoarthritis Prevention Strategies in Individuals With Anterior Cruciate Ligament Injury

Arthritis Care &Research, EarlyView.
Objective There is growing interest in evaluating new strategies to delay or prevent posttraumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury. Methods Participants with a history of
Kevin Kennedy +9 more
wiley +1 more source

Distribution network state estimation by fusing improved generative adversarial network and graph attention network

电力工程技术
The distribution network is connected to new elements such as distributed new energy and controllable resources, and the traditional state estimation model is faced with new problems such as incomplete measurement information, frequent topology changes ...
Qi ZHAO, Jiang TIAN, Xiuzhi XU, Yang LÜ
doaj +1 more source

Evaluation of a Novel Electric Health Record Sidecar Application to Display Rheumatoid Arthritis Clinical Outcomes During Clinic Visits: Results of a Stepped‐Wedge Cluster Randomized Pragmatic Trial

Arthritis Care &Research, EarlyView.
Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source

Estimation of shifted weibull distribution parameters using optimization algorithms for optimal investment decisions making

Franklin Open
This study examines the estimation of parameters for the Shifted Weibull Distribution (SWD) using several robust metaheuristic algorithms, with a focus on enhancing precision and reliability in investment data analysis.
Hamza Abubakar, Masnita Misiran, Amani Idris A. Sayed +2 more
doaj +1 more source

state estimation
machine learning