Article
Agriculture, Dairy & Animal Science
M. Martin, M. D. Kleinhenz, K. S. Schwartzkopf-Genswein, D. Melendez, S. Marti, E. A. Pajor, E. D. Janzen, J. Coetzee
Summary: This study used ROC analysis to evaluate the predictive value of pain biomarkers in livestock. It found that plasma cortisol, hair cortisol, and IRT had higher AUC values, while salivary cortisol, MNT, substance P, kinematic gait analysis, and a visual analog scale for pain had lower AUC values.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Computer Science, Hardware & Architecture
Ruhul Ali Khan
Summary: A new semiparametric model of the ROC curve is proposed, which is based on the resilience family or proportional reversed hazard family. The resulting ROC curve and its summary indices have simple analytic forms. The estimation methodologies of the resilience family and a simulation study to assess the performance of the estimators are discussed.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Geochemistry & Geophysics
Chein-I Chang
Summary: This article explores fundamental and conceptual issues in the application of the 2D ROC curve for hyperspectral anomaly detection, providing solutions and insights. By deriving a mathematical theory and conducting comprehensive analysis, it reveals the principles of plotting the 2D ROC curve and evaluating background suppression. The article also highlights that many detectors claiming good performance in AD actually perform poorly in BS.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Psychology, Multidisciplinary
Yueran Yang
Summary: This article discusses how to improve classification performance using ROC analysis and introduces a tool to visualize a classifier's expected utility. The analysis reveals that expected utility depends not only on the accuracy of a classifier but also on its operating point. Therefore, choosing the optimal operating point can maximize expected utility. The article also explores other methods beyond ROC analysis to increase expected utility.
PSYCHOLOGICAL METHODS
(2022)
Article
Biology
M. Amico, I Van Keilegom, B. Han
Summary: This article introduces a cure model for handling cure fractions in survival data, and proposes a ROC curve estimator to evaluate the classification performance of cured/noncured status. Through simulations and comparisons, the good performance of the proposed method is demonstrated, applied to a breast cancer dataset.
Article
Mathematics, Applied
Alexej Gossmann, Aria Pezeshk, Yu-Ping Wang, Berkman Sahiner
Summary: The performance evaluation of constantly evolving machine learning algorithms, especially in high-risk fields such as medicine, faces new challenges. Reusing the same test dataset can lead to overfitting and overly optimistic conclusions about algorithm performance. A modified holdout mechanism shows potential in reducing overfitting issues.
SIAM JOURNAL ON MATHEMATICS OF DATA SCIENCE
(2021)
Article
Mathematical & Computational Biology
Susana Diaz-Coto, Norberto Octavio Corral-Blanco, Pablo Martinez-Camblor
Summary: The ROC curve is a statistical tool used for studying classification accuracy, and a two-stage estimator proposed in this study can adapt well to different situations in diagnostic and prognostic problems. The method performs well in both large and finite samples, fitting non-standard situations effectively.
INTERNATIONAL JOURNAL OF BIOSTATISTICS
(2021)
Article
Health Care Sciences & Services
Yalda Zarnegarnia, Shari Messinger
Summary: Receiver operating characteristic curves are commonly used in medical research to illustrate biomarker performance in disease classification. Study designs involving related subjects can help improve biomarker detection and performance.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2021)
Article
Nutrition & Dietetics
Adam Drewnowski, Tanhia D. Gonzalez, Colin D. Rehm
Summary: This study compared the diagnostic accuracy of a new balanced hybrid nutrient density score (bHNDS) to Nutri-Score and Health Star Rating (HSR) front-of-pack systems using ROC curve analyses. The results showed high agreement between bHNDS and the two labeling systems.
FRONTIERS IN NUTRITION
(2022)
Article
Health Care Sciences & Services
Pablo Martinez-Camblor
Summary: A good diagnostic test should exhibit distinct behavior for positive and negative populations, but that is not sufficient to create a good classification system. Defining decision criteria is crucial for solving the complex binary classification problem. The receiver-operating characteristic curve length serves as an index for the optimal discriminatory capacity of a biomarker, but its estimation requires parametric or smoothed models. This study examines a kernel density estimator-based approximation for estimating the length of the receiver-operating characteristic curve and explores its behavior through statistical analysis and Monte Carlo simulations with real-world examples.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)
Article
Computer Science, Software Engineering
Shun Liu, Junjie Yang, Xianxian Zeng, Haiying Song, Jian Cen, Weichao Xu
Summary: Receiver Operating Characteristic (ROC) analysis is a commonly used tool in science and engineering for two-class problems. It characterizes the performance of binary statistical models using the scalar area under the ROC curve (AUC). However, tasks with more than two categories are frequently encountered, and the extension of ROC curve and AUC, namely hyper ROC surface and hyper-volume under the surface (HVUS), has attracted extensive interest. This study develops a python-based package and software tool as an alternative for multi-class ROC analysis.
Article
Ecology
Wenkai Li, Qinghua Guo
Summary: The performance evaluation of species distribution models is typically done through receiver operating characteristic (ROC) and precision-recall (PR) plots. This study introduces a new approach (PB approach) to calibrate ROC/PR curves from presence and background data, which provides highly accurate estimations in experiments.
ECOLOGY AND EVOLUTION
(2021)
Article
Mathematics
Hyunsuk Han
Summary: This study proposed the concept of using ROC curves to evaluate classifier performance and demonstrated its application in educational assessment. The results showed that ROC curves provide a comprehensive evaluation of classification quality and address issues in accuracy and consistency indices.
Article
Geochemistry & Geophysics
Chein- Chang
Summary: ROC analysis is widely used to evaluate signal detection performance. This study introduces a 3D ROC curve for assessing detector effectiveness and target detectability and background suppressibility. By including a third independent variable, tau, new quantitative measures are designed to better evaluate detection performance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Psychiatry
Korinne Northwood, E. Pearson, U. Arnautovska, S. Kisely, M. Pawar, M. Sharma, K. Vitangcol, E. Wagner, N. Warren, Dan Siskind
Summary: Through analyzing the relationship between clozapine blood levels and treatment efficacy, the researchers found that a range of 250-550 ng/mL is recommended, with a particular emphasis on levels above 350 ng/mL yielding the best treatment response. However, the risk and benefits of using blood levels exceeding 550 ng/mL should be weighed.
BRITISH JOURNAL OF PSYCHIATRY
(2023)
Article
Medicine, General & Internal
Yu Yang, Weidong Zhu, Shuqiu Chen, Guangyuan Zhang, Ming Chen, Yuhong Zhuang
JCPSP-JOURNAL OF THE COLLEGE OF PHYSICIANS AND SURGEONS PAKISTAN
(2019)
Article
Biochemistry & Molecular Biology
Xiangyu Zou, Yanping Hou, Jinxia Xu, Liang Zhong, Jin Zhou, Guangyuan Zhang, Jie Sun
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
(2020)
Review
Oncology
Nieke Zhang, Xiaoyan Wang, Chunying Wang, Shuqiu Chen, Jianping Wu, Guangyuan Zhang, Weidong Zhu, Jing Liu, Bin Xu, Mulong Du, Ming Chen
FRONTIERS IN ONCOLOGY
(2019)
Review
Oncology
Minhao Zhang, Rong Wang, Yuqing Wu, Jibo Jing, Shuqiu Chen, Guangyuan Zhang, Bin Xu, Chunhui Liu, Ming Chen
FRONTIERS IN ONCOLOGY
(2019)
Article
Biochemistry & Molecular Biology
Guangyuan Zhang, Lei Zhang, Si Sun, Ming Chen
Summary: This study identified CANX, BID, NAMPT, and BIRC5 as immune-autophagy-related genes with independent prognostic value in kidney renal clear cell carcinoma. These genes were significantly correlated with immune score, immune checkpoint, iron death, methylation, and OCLR score. The risk prognostic model based on them was well constructed, and experimental results were consistent with the bioinformatics analysis.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Biochemistry & Molecular Biology
Si Sun, Weipu Mao, Lilin Wan, Kehao Pan, Liting Deng, Lei Zhang, Guangyuan Zhang, Ming Chen
Summary: This study found that FGF17, PRKCG, SSTR1, and SCTR were metastatic immune-related differentially expressed genes (mIR-DEGs) with independent prognostic values in renal clear cell carcinoma. These genes were significantly associated with clinicopathological factors and immune checkpoint-related genes. The risk prognostic model based on these genes showed good predictive potential.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Article
Surgery
Si Sun, Weipu Mao, Shuchun Tao, Lilin Wan, Xiangyu Zou, Guangyuan Zhang, Ming Chen
Summary: The aim of this study was to assess the effect of preoperative blood glucose levels on the length of stay in patients with kidney stones undergoing percutaneous nephrolithotomy. The results demonstrated that higher preoperative blood glucose levels were significantly associated with longer length of stay in these patients.
FRONTIERS IN SURGERY
(2022)
Article
Surgery
Weipu Mao, Shuqiu Chen, Lijie Zhang, Tao Li, Si Sun, Bin Xu, Weidong Zhu, Guangyuan Zhang, Lei Zhang, Jianping Wu, Ming Chen
Summary: This study presents the functional outcomes and postoperative complications of modified Y-shaped ileal orthotopic neobladder reconstruction. The surgery is shown to be simple, safe, and clinically applicable.
FRONTIERS IN SURGERY
(2022)
Article
Urology & Nephrology
Guangyuan Zhang, Lei Zhang, Sun Si, Tiancheng Jiang, Yi Xia, Yongkun Zhu, Xiangyu Zhang, Chi Yao, Ming Chen, Shuqiu Chen
Summary: Low fibrinogen is an independent predictor of in-hospital mortality in critically ill patients with AKI. Low ATIII activity is also likely to impact the risk of in-hospital death.
Article
Cell Biology
Chi Yao, Guangyuan Zhang, Nieke Zhang, Renjie Li, Si Sun, Lei Zhang, Yi Xia, Shuqiu Chen, Jin Sun, Ming Chen
Summary: This study found that fibrinogen levels are associated with the prognosis of sepsis patients. The relationship between elevated and decreased levels of fibrinogen and mortality was shown to be nonlinear. Subgroup analysis confirmed the robustness of this association. However, after adjusting for confounding factors, the association between decreased fibrinogen levels and increased inhospital mortality was denied.
MEDIATORS OF INFLAMMATION
(2023)
Article
Biology
Wei Zhu, Chengjie Wu, Zhen Zhou, Guangyuan Zhang, Lianmin Luo, Yang Liu, Zhicong Huang, Guoyao Ai, Zhijian Zhao, Wen Zhong, Yongda Liu, Guohua Zeng
Summary: Acetate treatment can improve renal injury and fibrosis in hyperoxaluria by inhibiting macrophage infiltration through the promotion of miR-493-3p expression and suppression of macrophage migration inhibitory factor expression.
COMMUNICATIONS BIOLOGY
(2023)
Article
Cell Biology
Guang-Yuan Zhang, Yan-Wei Wang, Li-Ying Guo, Liang-Ru Lin, Shao-Peng Niu, Chang-Hao Xiong, Jing-Yan Wei
Summary: In this study, a hGPx1 mutant (GPx1M) with high activity was prepared using a single protein production (SPP) system. The GPx1M was conjugated with SS-mPEG to enhance its stability, and it showed good antioxidant effects both in vitro and in vivo.
Article
Medicine, Research & Experimental
Guangyuan Zhang, Shuyang Yu, Si Sun, Lei Zhang, Guangli Zhang, Kai Xu, Yuxiao Zheng, Qin Xue, Ming Chen
INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE
(2019)
Article
Biochemistry & Molecular Biology
Lei Zhang, Han Liu, Kai Xu, Zhixin Ling, Yeqing Huang, Qiang Hu, Kai Lu, Chunhui Liul, Yiduo Wang, Ning Liu, Xiaowen Zhang, Bin Xu, Jianping Wu, Shuqiu Chen, Guangyuan Zhang, Ming Chen
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES
(2019)
