Results 141 to 150 of about 2,450,039 (300)

A Comparison of Frailty Indices in Predicting Postoperative Outcomes After Endoscopic Sinus Surgery

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Objective To compare the discriminatory performance of the Risk Analysis Index (RAI) and modified Frailty Index‐5 (mFI‐5) in predicting postoperative outcomes following endoscopic sinus surgery (ESS). Study Design Retrospective cohort study. Methods Adult ESS patients were identified from the ACS‐NSQIP database (2005–2020).
Akshay Warrier, David Remyes, Tenesha Boyd, Ailish Nagpal, Aman M Patel, David W. Wassef, Jean Anderson Eloy   +6 more
wiley   +1 more source

Perivascular Spaces as Determinants of Amyloid, Tau, and Vascular Biomarker Progression

Annals of Neurology, EarlyView.
Objective Magnetic resonance imaging (MRI)‐visible enlarged perivascular spaces (PVS) are markers of cerebral small vessel disease (SVD) and aging, processes implicated in both neurodegenerative and cerebrovascular pathologies. However, longitudinal positron emission tomography (PET) studies examining PVS as a mechanism underlying Alzheimer's disease ...
Audrey Low, Jeffrey L. Gunter, Mingzhao Hu, Sheelakumari Raghavan, Scott A. Przybelski, Christopher G. Schwarz, Kejal Kantarci, Val J. Lowe, Ronald C. Petersen, Jonathan Graff‐Radford, Clifford R. Jack Jr, Prashanthi Vemuri   +11 more
wiley   +1 more source

Ordinal logistic regression [PDF]

Journal of Family Planning and Reproductive Health Care, 2008
openaire   +2 more sources

Gaussian Processes for Ordinal Regression

, 2005
We present a probabilistic kernel approach to ordinal regression based on Gaussian processes. A threshold model that generalizes the probit function is used as the likelihood function for ordinal variables.
Wei Chu, Zoubin Ghahramani
core  

Hippocampal Seizure‐Related Burden is Associated with Accelerated Long‐Term Forgetting in Focal Epilepsy

Annals of Neurology, EarlyView.
Objective Memory impairment is a frequent comorbidity of focal epilepsy, incompletely explained by seizure frequency or structural pathology. Ictal and postictal hippocampal dysfunction disrupt memory processes, but their cumulative impact remains poorly quantified.
Ionuț‐Flavius Bratu, Isabelle Lambert, Olivier Felician, Samuel Medina Villalon, Agnès Trébuchon, Fabrice Bartolomei   +5 more
wiley   +1 more source

Examination of morphological traits of children's faces related to perceptions of cuteness using Gaussian process ordinal regression. [PDF]

Front Psychol, 2022
Komori M, Teraji T, Shiroshita K, Nittono H.   +3 more
europepmc   +1 more source

MIXNO: a computer program for mixed-effects nominal logistic regression [PDF]

MIXNO provides maximum marginal likelihood estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis of correlated nominal response data, for example, data arising from a clustered or longitudinal design. For
Donald Hedeker
core  

Probabilistic least squares approach to ordinal regression

, 2012
This paper proposes a novel approach to solve the ordinal regression problem using Gaussian processes. The proposed approach, probabilistic least squares ordinal regression (PLSOR), obtains the probability distribution over ordinal labels using a ...
P. K. Srijith, Shirish Shevade, Shevade, Shirish, Sundararajan, S, Srijith, PK, S. Sundararajan   +5 more
core   +1 more source

Pelvic morphology and body size in relation to the preauricular sulcus: Evidence from medieval to modern Iberia

The Anatomical Record, EarlyView.
Abstract The preauricular sulcus has long been debated as a pelvic feature variably attributed to obstetric stress, ligamentous traction, and broader biomechanical processes. To clarify its determinants, we analyzed 409 adult individuals from three archeological and one early modern skeletal collection from the Iberian Peninsula, integrating graded ...
Rebeca García‐González, Julia Muñoz‐Guarinos, Nico Cirotto, Sonia Díaz‐Navarro, Laura Rodríguez, José Miguel Carretero   +5 more
wiley   +1 more source

Protein-protein interaction prediction based on ordinal regression and recurrent convolutional neural networks. [PDF]

BMC Bioinformatics, 2021
Xu W, Gao Y, Wang Y, Guan J.
europepmc   +1 more source