Results 151 to 160 of about 3,583,799 (330)

Fibulin2 is a good diagnostic and prognostic indicator for sepsis

BMC Infectious Diseases
Background Sepsis is a life-threatening syndrome characterized by multiple organ dysfunction resulting from a maladjusted host response to infection. It remains a leading cause of morbidity and mortality worldwide.
Xiaowen Gao, Shidan Li, Jinze Wu, Yiyun Feng, Wei Xing, Xiaoming Li, Yimin Du, Debin Guo, Honghao Xu, Dongqin Tang, Shaochuan Wang, Youbin Li, Jing Yang, Jianfei Ma, Yamei Zhang, Lei Li, Jun Fei   +16 more
doaj   +1 more source

Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond

Statistics in Medicine, 2008
Michael J. Pencina, Ralph B. D'Agostino, R. Vasan   +2 more
semanticscholar   +1 more source

THE PROPOSITION VALUE OF CORPORATE RATINGS - A RELIABILITY TESTING OF CORPORATE RATINGS BY APPLYING ROC AND CAP TECHNIQUES [PDF]

We analyze the Altman model, a Logit model as well as the KMV model in order to evaluate their performance. Therefore, we use a random sample of 132 US firms.
Retzmann Jan, Lis Bettina, Nessler Christian   +2 more
core  

Bending‐Resistant Intimate 3D Graphene–Metal Heterojunctions for Highly Sensitive and Robust Flexible Sensors

Advanced Science, EarlyView.
A reservoir‐guided silver‐nanoparticle soldering strategy is developed for bending‐resistant 3D graphene–metal heterojunctions. Controlled hot‐plate evaporation confines conductive ink within the metal reservoir, suppressing spreading and protecting the LIG interface from deformation‐induced fracture.
Saeyoung Park, Yoo‐Kyum Shin, Na‐Kyoung Yang, Gyeong‐Hwan Park, Somi Lee, Min‐Ho Seo   +5 more
wiley   +1 more source

A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems

Machine-mediated learning, 2001
D. Hand, R. Till
semanticscholar   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

A Multiclass ROC Curve

This paper introduces a novel methodology for constructing multiclass ROC curves using the multidimensional Gini index. The proposed methodology leverages the established relationship between the Gini coefficient and the ROC Curve and extends it to multiclass settings through the multidimensional Gini index.
Giudici, Paolo, Rosciano, Rosa C., Schrader, Johanna, Kummerfeld, Delf-Magnus   +3 more
openaire   +2 more sources

ROC curve analysis.

, 2014
The accuracy of different methods for discriminating between different degrees of substance loss (i.e. different groups) was evaluated via calculation of the area under the curve (AUC).ROC curve analysis.
Christof Dörfer (630692), Geert Felstehausen (630690), Falk Schwendicke (515293), Clifton Carey (630691)   +3 more
core   +1 more source

Single‐Cell RNA Editing Identifies T Cell ADAR1 as a Key Regulator of Immune Exhaustion and Anti‐PD‐1 Resistance in Colorectal Cancer

Advanced Science, EarlyView.
Single‐cell RNA editing analysis identifies ADAR1 as a regulator of dysfunctional T cell states in colorectal cancer. Elevated ADAR1 activity promotes T cell exhaustion and impairs antitumor immunity partly through TGF‐β‐SMAD signaling, contributing to anti‐PD‐1 resistance and highlighting T cell ADAR1 as a potential therapeutic target and biomarker ...
Da Kang, Song‐Zuo Xie, Yong‐Zhou Luo, Xin‐Pei Deng, Xi‐Rong Tan, Ze‐Geng Chen, Ling‐Xing Zeng, Gong Chen, Pei‐Rong Ding, Zhi‐Zhong Pan, Rong‐Xin Zhang   +10 more
wiley   +1 more source

ROC curve for redox index.

, 2019
Receiver operating characteristic curve (ROC) curve for redox index in the study groups.
Takeshi Yabana (8201211), Yukihiro Shiga (724428), Kota Sato (3461057), Noriko Himori (2621659), Toru Nakazawa (287792), Kazuko Omodaka (577511)   +5 more
core   +1 more source