Results 151 to 160 of about 2,450,039 (300)
Ordinal regression by extended binary classification [PDF]
, 2007 We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework consists of three steps: extracting extended examples from the original examples, learning a binary classifier on the extended ...
Lin, Hsuan-Tien +3 more
core
Arthritis &Rheumatology, EarlyView.Objective Interstitial lung disease (ILD) is an important extra‐articular manifestation of rheumatoid arthritis (RA) associated with high mortality and morbidity. Lung ultrasonography (LUS) has recently emerged as a possible screening tool. We assessed the role of LUS in monitoring radiologic progression and the development of new interstitial lung ...
Marie Vermant +15 more
wiley +1 more source
The patterns of facial fractures in traumatic brain injury (TBI) patients using ordinal regression: a retrospective study of five years. [PDF]
AIMS Neurosci, 2022 Nawi MAA +6 more
europepmc +1 more source
Measure and integral with purely ordinal scales [PDF]
We develop a purely ordinal model for aggregation functionals for lattice valued functions, comprising as special cases quantiles, the Ky Fan metric and the Sugeno integral. For modeling findings of psychological experiments like the reflection effect in
Dieter Denneberg, Michel Grabisch
core
Ordinal regression based on data relationship
, 2019 Ordinal regression is a supervised learning problem which aims to classify instances into ordinal categories. It is different from multi-class classification because there is an ordinal relationship between the categories.
Liu, Yanzhu
core +1 more source
Arthritis &Rheumatology, EarlyView.Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis. Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and interrater variability.
Thomas Deimel +6 more
wiley +1 more source
A coefficient of discrimination for use with nominal and ordinal regression models. [PDF]
J Appl Stat, 2021 Smith TJ, Walker DA, McKenna CM.
europepmc +1 more source
Ordinal Variables and the Measurement of Polarization [PDF]
This paper aims at proposing measures of polarization for the distribution of a variable when information on the latter is only ordinal. The measures proposed are borrowed from the recent literature on the measurement of segregation.
FUSCO Alessio, SILBER Jacques
core
Medical students' perspectives on body donation to science within the Italian context
Anatomical Sciences Education, EarlyView.Abstract Body donation is essential for medical education and research, supporting anatomical training and clinical competence. In Italy, national data on awareness of the legislation regulating body donation and factors shaping donation‐related decisions among healthcare trainees remain limited. This study investigated knowledge of the legal framework,
Antonietta Fazio +20 more
wiley +1 more source
An Overview of Methods in the Analysis of Dependent ordered catagorical Data: Assumptions and Implications [PDF]
Subjective assessments of pain, quality of life, ability etc. measured by rating scales and questionnaires are common in clinical research. The resulting responses are categorical with an ordered structure and the statistical methods must take account of
Högberg, Hans, Svensson, Elisabeth
core