Results 131 to 140 of about 2,450,039 (300)

An application of ordinal regression to extract social dysfunction levels through behavioral problems. [PDF]

AIMS Public Health, 2023
Sabharwal A, Goyal B, Joshi LM.
europepmc   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Arthrogryposis Multiplex Congenita in Pediatric Age: Correlation Between MUScular MRI and Functional Evaluation (AMUSE), Toward a Biomechanical Model

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Arthrogryposis Multiplex Congenita (AMC) is a group of diseases with joint limitations at two or more distinct joint levels at birth. Joint limitations are not progressive, but the functional consequences have a lifelong impact on patients. The management of these conditions is therefore demanding, necessarily multidisciplinary, and is a long ...
Alicia‐Marine Milot, Mariya Raykova, Claire Huzar, Véronique Thellier, Nicolas Hergibo, Marjolaine Gauthier, Gipsy Billy‐Lopez, Chantal Durand, Frédérique Nugues, Véronique Bourg, Klaus Dieterich   +10 more
wiley   +1 more source

Preoperative prediction of gastric cancer T-staging based on ordinal regression models

Informatika
Objectives. Study of ordinal regressions presented via the set of binary logistic regressions and their application in clinical practice for T-staging of gastric cancer.Methods.
O. V. Krasko, M. Yu. Reutovich, A. L. Patseika   +2 more
doaj   +1 more source

Sociodemographic Factors Associated with Hours Worked by Primary Carers in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT Primary caregivers constitute a major unpaid workforce in Australia. The aim of this study was to determine the sociodemographic factors that are associated with carer workloads. Multinomial logistic regression modelling was applied to the nation‐wide Australian Government survey.
Andrew J. Hamilton
wiley   +1 more source

Rethinking Support Allocation: Mental Health and Patterns of Homelessness Support Utilisation

Australian Journal of Social Issues, EarlyView.
ABSTRACT Homelessness support agencies face substantial puzzles in allocating scarce resources: who gets access and who stays on the waitlist? This paper examines the influence of mental illness on the patterns of consuming non‐clinical homelessness support by persons experiencing homelessness and at risk.
Godwin Kavaarpuo, Kathryn Daley
wiley   +1 more source

An Automated TW3-RUS Bone Age Assessment Method with Ordinal Regression-Based Determination of Skeletal Maturity. [PDF]

J Digit Imaging, 2023
Zhang D, Liu B, Huang Y, Yan Y, Li S, He J, Zhang S, Zhang J, Xia N.   +8 more
europepmc   +1 more source

Cohesion Without Consensus: Attitudinal Profiles of Social Cohesion in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT Headline indicators of social cohesion in Australia have remained stable in recent years despite rising political polarisation and declining institutional trust worldwide. Yet recent protests and incidents of ethnically and politically motivated violence suggest that cohesion may be under strain. If cohesion is understood not as the pursuit of
John van Kooy
wiley   +1 more source

Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression. [PDF]

BMC Public Health, 2023
Manoochehri Z, Moghimbeigi A, Ezzati-Rastegar K, Faradmal J.   +3 more
europepmc   +1 more source

Kernel discriminant learning for ordinal regression

, 2010
Ordinal regression has wide applications in many domains where the human evaluation plays a major role. Most current ordinal regression methods are based on Support Vector Machines (SVM) and suffer from the problems of ignoring the global information of ...
Wu, D.D., Li, J., Zhang, X.M., Sun, B.Y., Li, W.B.   +4 more
core   +1 more source