Xiaoyan Lin
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View article: Diagnostic accuracy analysis for multiple raters using probit hierarchical model for ordinal ratings
Diagnostic accuracy analysis for multiple raters using probit hierarchical model for ordinal ratings Open
This paper delves into the realm of ordinal classification processes for multiple raters. A Probit hierarchical model is proposed linking rater’s ordinal ratings with rater diagnostic skills (bias and magnifier) and patient latent disease …
View article: Bayesian variable selection in joint modeling of longitudinal data and interval-censored failure time data
Bayesian variable selection in joint modeling of longitudinal data and interval-censored failure time data Open
Joint modeling of longitudinal data and survival data has gained great attention in the last two decades. However, most of the existing studies have focused on right-censored survival data. In this article, we study joint analysis of longi…
View article: A New Data Augmentation Method for Bayesian Semiparametric Proportional Hazards Model Analyzing Arbitrarily Censored Data
A New Data Augmentation Method for Bayesian Semiparametric Proportional Hazards Model Analyzing Arbitrarily Censored Data Open
Arbitrarily censored data have a more general data structure than conventional right-censored data or general interval-censored data and thus are more challenging to analyze. In this article, a novel Bayesian approach is developed for anal…
View article: Discovery of a Novel Ketohexokinase Inhibitor with Improved Drug Distribution in Target Tissue for the Treatment of Fructose Metabolic Disease
Discovery of a Novel Ketohexokinase Inhibitor with Improved Drug Distribution in Target Tissue for the Treatment of Fructose Metabolic Disease Open
Excessive fructose absorption and its subsequent metabolisms are implicated in nonalcoholic fatty liver disease, obesity, and insulin resistance in humans. Ketohexokinase (KHK) is a primary enzyme involved in fructose metabolism via the co…
View article: Contents list
Contents list Open
This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement…
View article: Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data
Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data Open
Panel count data often occur in a long-term recurrent event study, where the exact occurrence time of the recurrent events is unknown, but only the occurrence count between any two adjacent observation time points is recorded. Most traditi…
View article: Pain expression assessment based on a locality and identity aware network
Pain expression assessment based on a locality and identity aware network Open
In clinical medicine, the pain feeling is a significant indicator for the medical condition of patients. Of late, automatic pain assessment methods have received more and more interests. Many researchers proposed corresponding methods and …
View article: Measuring rater bias in diagnostic tests with ordinal ratings
Measuring rater bias in diagnostic tests with ordinal ratings Open
Diagnostic tests are frequently reliant upon the interpretation of images by skilled raters. In many clinical settings, however, the variability observed between experts' ratings plays a detrimental role in the degree of confidence in thes…
View article: Pain intensity estimation based on a spatial transformation and attention CNN
Pain intensity estimation based on a spatial transformation and attention CNN Open
Models designed to detect abnormalities that reflect disease from facial structures are an emerging area of research for automated facial analysis, which has important potential value in smart healthcare applications. However, most of the …
View article: Bayesian hierarchical latent class models for estimating diagnostic accuracy
Bayesian hierarchical latent class models for estimating diagnostic accuracy Open
The diagnostic accuracy of a test or rater has a crucial impact on clinical decision making. The assessment of diagnostic accuracy for multiple tests or raters also merits much attention. A Bayesian hierarchical conditional independence la…
View article: Modeling rater diagnostic skills in binary classification processes
Modeling rater diagnostic skills in binary classification processes Open
Many disease diagnoses involve subjective judgments by qualified raters. For example, through the inspection of a mammogram, MRI, or ultrasound image, the clinician himself becomes part of the measuring instrument. To reduce diagnostic err…
View article: Numerical simulation of a class of FitzHugh-Nagumo systems based on the lattice Boltzmann method
Numerical simulation of a class of FitzHugh-Nagumo systems based on the lattice Boltzmann method Open
The lattice Boltzmann method (LBM) was proposed as a novel mesoscopic numerical method, and is widely used to simulate complex nonlinear fluid systems. In this paper, we develop a lattice Boltzmann model with amending function and source t…
View article: Differential lncRNA expression profiles in recurrent gliomas compared with primary gliomas identified by microarray analysis.
Differential lncRNA expression profiles in recurrent gliomas compared with primary gliomas identified by microarray analysis. Open
Glioma, especially high-grade glioma, is highly malignant with high rate of recurrence and poor prognosis. The mechanisms of glioma progression and recurrence have not been elucidated. Previous studies showed that long non-coding RNAs (lnc…