Results 251 to 260 of about 2,525,063 (363)

Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier [PDF]

, 2013
Ricardo Aler, Julia Handl, Joshua Knowles   +2 more
openalex   +1 more source

Estimation of ROC curve with complex survey data

Statistics in Medicine, 2015
W. Yao, Z. Li, B. Graubard
semanticscholar   +1 more source

Integrated Metabolic and Inflammatory Clustering Reveals Distinct Risk Profiles for Digestive Diseases

Advanced Science, EarlyView.
This study analyzes 398 432 participants, identifying four distinct metabolic‐inflammatory subtypes. These subtypes show a significant association with digestive disease risk. Cluster‐associated metabolite signatures partially explain this link. Machine learning models using these metabolites accurately predict risk for ten digestive diseases. Key risk
Zhenhe Jin, Qichen Chen, Liangfeng Zhou, Kexin Ye, Zhaoxue Liu, Wenxi Jiang, Linwen Luo, Yize Wang, Xiaohua Ye, Chaohui Yu, Zhe Shen   +10 more
wiley   +1 more source

Establishing minimal clinically important differences for the quality of life scale QLICD-SLE for patients with systemic lupus erythematosus based on ROC curve. [PDF]

Sci Rep
Liu Y, Xue H, Wong W, Ding H, Chen M, Xie T, Wan C.   +6 more
europepmc   +1 more source

NQO1/p65/CXCL12 Axis‐Recruited Tregs Mediate Resistance to Anti‐PD‐1 Plus Lenvatinib Therapy in PIVKA‐II‐Positive Hepatocellular Carcinoma

Advanced Science, EarlyView.
High PIVKA‐II expression in HCC correlates with resistance to anti‐PD‐1 plus lenvatinib, driven by an immunosuppressive TME. NQO1/p65/CXCL12 axis recruits Tregs to promote resistance to anti‐PD‐1 plus lenvatinib in HCC with high PIVKA‐II expression.
Biao Gao, Yafei Wang, Zhuoya Sun, Haowen Tang, Yinbiao Cao, Hao Jiang, Wenwen Zhang, Yinzhe Xu, Bingyang Hu, Zhe Liu, Guankun Mao, Xuerui Li, Junfeng Li, Tao Wan, Bing Liu, Xiao Zhao, Shunchang Jiao, Chonghui Li, Shichun Lu   +18 more
wiley   +1 more source

Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis. [PDF]

Kaohsiung J Med Sci
Hu CY, Sun LC, Lin MY, Chen MH, Hsu HT.
europepmc   +1 more source

Assessment of Health-Related Fitness in Korean Older Adults using ROC Curve Analysis

, 2008
이미숙
openalex   +1 more source

Universal Regulation of DNA Polymerase via Photocaged Primer Enables Light‐Start Isothermal Amplification on Demand

Advanced Science, EarlyView.
A simple and general photoactivatable approach is developed to regulate DNA polymerase activity, enabling light‐start isothermal amplification on demand. The molecular dynamics simulations reveals that the photocaged primer blocks DNA polymerase activity by inhibiting the conformational change of the polymerase.
Min Qing, Yufan Qin, Zhijin Li, Xiufang Yu, Jianbo Wang, Xiaoqiong Liu, Xin Chen, Chao Yu   +7 more
wiley   +1 more source

Resampling ROC curves

, 2007
Ndeye Niang Keita, Gilbert Saporta
  +4 more sources

Correction to 'Using the K-Means Node Clustering Method and ROC Curve Analysis to Define Cut-Off Scores for the Caregiving System Scale'. [PDF]

Int J Psychol
europepmc   +1 more source