Results 91 to 100 of about 90,248 (307)
Kernel Discriminant Learning for Ordinal Regression
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 the data and the high computational complexity.
Bing-Yu Sun +4 more
openaire +3 more sources
Objective The evidence regarding adherence to dietary patterns and Parkinson's disease (PD) risk is inconsistent. Because of the long prodromal PD phase, reverse causation represents a major threat to investigations of diet in relation to PD. We examined whether adherence to the Mediterranean (MED) and Mediterranean‐Dietary Approaches to Stop ...
Mariem Hajji‐Louati +6 more
wiley +1 more source
Ordinal regression with explainable distance metric learning based on ordered sequences [PDF]
Juan Luis Suárez +2 more
openalex +1 more source
Objective The objective of this study was to compare clinical features and prognosis of late‐onset neuromyelitis optica spectrum disorder (LO‐NMOSD, onset age ≥60 years) with adult‐onset NMOSD (AO‐NMOSD, onset age 18–59 years), and to provide insights for individualized management in elderly patients.
Ya‐Lan Pu +15 more
wiley +1 more source
Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito +10 more
wiley +1 more source
Preoperative prediction of gastric cancer T-staging based on ordinal regression models
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 +2 more
doaj +1 more source
Bayesian Nonparametric Modeling for Multivariate Ordinal Regression [PDF]
Maria DeYoreo, Athanasios Kottas
openalex +1 more source
Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim +14 more
wiley +1 more source
Spatial distribution and determinant factors of anaemia among adults aged 15-59 in Ethiopia; using mixed-effects ordinal logistic regression model [PDF]
Biruk Shalmeno Tusa +2 more
openalex +1 more source

