scholarly journals Distributed Ordinal Regression Over Networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Huan Liu ◽  
Jiankai Tu ◽  
Chunguang Li
Keyword(s):  
Ordinal Regression

Towards semi-supervised ordinal regression with nearest neighbor

2010 ◽  
Vol 30 (4) ◽  
pp. 1022-1025
Author(s):  
Hai-jiang HE ◽  
Wen-de HE ◽  
Hua-fu LIU
Keyword(s):  
Nearest Neighbor ◽  
Ordinal Regression

scholarly journals Associations between haemodynamics and wall enhancement of intracranial aneurysm

2021 ◽  
pp. svn-2020-000636
Author(s):  
Miaoqi Zhang ◽  
Fei Peng ◽  
Xin Tong ◽  
Xin Feng ◽  
Yunduo Li ◽  
...  
Keyword(s):  
Blood Flow ◽  
High Resolution ◽  
Ordinal Regression ◽  
Parent Artery ◽  
Black Blood ◽  
4D Flow Mri ◽  
4D Flow ◽  
Unruptured Intracranial Aneurysms ◽  
Black Blood Mri ◽  
Flow Mri

Background and purposePrevious studies have reported about inflammation processes (IPs) that play important roles in aneurysm formation and rupture, which could be driven by blood flow. IPs can be identified using aneurysmal wall enhancement (AWE) on high-resolution black-blood MRI (BB-MRI) and blood flow haemodynamics can be demonstrated by four-dimensional-flow MRI (4D-flow MRI). Thus, this study investigated the associations between AWE and haemodynamics in unruptured intracranial aneurysms (IA) by combining 4D-flow MRI and high-resolution BB-MRI.Materials and methodsBetween April 2014 and October 2017, 48 patients with 49 unruptured IA who underwent both 4D-flow MRI and high-resolution BB-MRI were retrospectively included in this study. The haemodynamic parameters demonstrated using 4D-flow MRI were compared between different AWE patterns using the Kruskal-Wallis test and ordinal regression.ResultsThe results of Kruskal-Wallis test showed that the average wall shear stress in the IA (WSSavg-IA), maximum through-plane velocity in the adjacent parent artery, inflow jet patterns and the average vorticity in IA (vorticityavg-IA) were significantly associated with the AWE patterns. Ordinal regression analysis identified WSSavg-IA (p=0.002) and vorticityavg-IA (p=0.033) as independent predictors of AWE patterns.ConclusionA low WSS and low average vorticity were independently associated with a high AWE grade for IAs larger than 4 mm. Therefore, WSS and average vorticity could predict AWE and circumferential AWE.

Dimensionality Reduced Robust Ordinal Regression applied to Life Cycle Assessment

2021 ◽  
pp. 115021
Author(s):  
Elia Balugani ◽  
Francesco Lolli ◽  
Martina Pini ◽  
Anna Maria Ferrari ◽  
Paolo Neri ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Ordinal Regression ◽  
Robust Ordinal Regression

scholarly journals Understanding Leisure Centre-Based Physical Activity after Physical Activity Referral: Evidence from Scheme Participants and Completers in Northumberland UK

2021 ◽  
Vol 18 (6) ◽  
pp. 2957
Author(s):  
Jordan Bell ◽  
Lis Neubeck ◽  
Kai Jin ◽  
Paul Kelly ◽  
Coral L. Hanson
Keyword(s):  
Physical Activity ◽  
Administrative Data ◽  
World Health Organisation ◽  
Ordinal Regression ◽  
World Health ◽  
Activity Levels ◽  
The World ◽  
The Uk

Physical activity referral schemes (PARS) are a popular physical activity (PA) intervention in the UK. Little is known about the type, intensity and duration of PA undertaken during and post PARS. We calculated weekly leisure centre-based moderate/vigorous PA for PARS participants (n = 448) and PARS completers (n = 746) in Northumberland, UK, between March 2019–February 2020 using administrative data. We categorised activity levels (<30 min/week, 30–149 min/week and ≥150 min/week) and used ordinal regression to examine predictors for activity category achieved. PARS participants took part in a median of 57.0 min (IQR 26.0–90.0) and PARS completers a median of 68.0 min (IQR 42.0–100.0) moderate/vigorous leisure centre-based PA per week. Being a PARS completer (OR: 2.14, 95% CI: 1.61–2.82) was a positive predictor of achieving a higher level of physical activity category compared to PARS participants. Female PARS participants were less likely (OR: 0.65, 95% CI: 0.43–0.97) to achieve ≥30 min of moderate/vigorous LCPA per week compared to male PARS participants. PARS participants achieved 38.0% and PARS completers 45.3% of the World Health Organisation recommended ≥150 min of moderate/vigorous weekly PA through leisure centre use. Strategies integrated within PARS to promote PA outside of leisure centre-based activity may help participants achieve PA guidelines.

Fast kernel extreme learning machine for ordinal regression

2019 ◽  
Vol 177 ◽  
pp. 44-54 ◽  
Author(s):  
Yong Shi ◽  
Peijia Li ◽  
Hao Yuan ◽  
Jianyu Miao ◽  
Lingfeng Niu
Keyword(s):  
Extreme Learning Machine ◽  
Ordinal Regression ◽  
Kernel Extreme Learning Machine ◽  
Learning Machine

Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP

2012 ◽  
Vol 52 (3) ◽  
pp. 549-561 ◽  
Author(s):  
Salvatore Greco ◽  
Miłosz Kadziński ◽  
Vincent Mousseau ◽  
Roman Słowiński
Keyword(s):  
Group Decision ◽  
Ordinal Regression ◽  
Multiple Criteria ◽  
Robust Ordinal Regression

Solo and Multi-Offenders Who Commit Stranger Kidnapping: An Assessment of Factors That Correlate With Violent Events

2016 ◽  
Vol 33 (22) ◽  
pp. 3459-3479 ◽  
Author(s):  
Shannon N. Cunningham ◽  
Donna M. Vandiver
Keyword(s):  
Logistic Regression ◽  
Reporting System ◽  
Research Community ◽  
Ordinal Regression ◽  
Violent Events

Research has demonstrated that co-offending dyads and groups often use more violence than individual offenders. Despite the attention given to co-offending by the research community, kidnapping remains understudied. Stranger kidnappings are more likely than non-stranger kidnappings to involve the use of a weapon. Public fear of stranger kidnapping warrants further examination of this specific crime, including differences between those committed by solo and multi-offender groups. The current study uses National Incident-Based Reporting System (NIBRS) data to assess differences in use of violence among 4,912 stranger kidnappings by solo offenders and multi-offender groups using cross-tabulations, ordinal regression, and logistic regression. The results indicate that violent factors are significantly more common in multi-offender incidents, and that multi-offender groups have fewer arrests than solo offenders. The implications of these findings are discussed.

Assessing the correspondence of one or more vectors to a symmetric matrix using ordinal regression

Psychometrika ◽  
1986 ◽  
Vol 51 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Thomas J. Reynolds ◽  
Kenneth H. Sutrick
Keyword(s):  
Symmetric Matrix ◽  
Ordinal Regression
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