Results 201 to 210 of about 2,525,063 (363)

Interpretable Multimodal Fusion Model Enhances Postoperative Recurrence Prediction in Gastric Cancer

Advanced Science, EarlyView.
An interpretable multimodal fusion model (RSA) integrating clinical, radiomic, and pathomic features is developed and validated to predict early postoperative recurrence in gastric cancer. The RSA model demonstrates superior predictive performance and holds potential for guiding adjuvant chemotherapy decisions and improving individualized patient ...
Ping'an Ding, Jiaxuan Yang, Sheng Chen, Honghai Guo, Jiaxiang Wu, Haotian Wu, Li Yang, Wenqian Ma, Yuan Tian, Renjun Gu, Lilong Zhang, Ning Meng, Xiaolong Li, Zhenjiang Guo, Yueping Liu, Lingjiao Meng, Qun Zhao   +16 more
wiley   +1 more source

Optimizing sarcopenia screening in type 2 diabetes mellitus: A ROC curve evaluation of the SARC-F and the SARC-CalF. [PDF]

Osteoporos Sarcopenia
Su SY, Okoli CTC, Chao LF.
europepmc   +1 more source

The ROC Curve and the Area under It as Performance Measures

, 2004
Caren Marzban
openalex   +1 more source

Integrin αvβ6‐Targeted PET/CT Imaging of Non‐Small Cell Lung Cancer with [68Ga]Ga‐Trivehexin: Improved Preoperative Lymph Node Staging and Association with Immunohistochemistry

Advanced Science, EarlyView.
Integrin αvβ6‐targeted [68Ga]Ga‐Trivehexin positron emission tomography/computed tomography (PET/CT) can accurately identify regional lymph nodes and cerebral metastases in non‐small cell lung cancer (NSCLC) compared with 2‐deoxy‐2‐[18F]fluoro‐D‐glucose ([18F]FDG).
Huiqin Wu, Chongjiao Li, Ling Li, Yueli Tian, Zhiwei Xiao, Yiwei Huang, Juan Zhong, Jianying Huang, Qiongrong Chen, Yong He   +9 more
wiley   +1 more source

Research on the predictive performance of using ROC curve to evaluate axial length for myopia in children and adolescents. [PDF]

BMC Ophthalmol
Mingming C, Zhongxin Z, Yuting G, Xinnan Z, Shaoli L, Junting L, Fangfang C, Zhou Y, Tao Y, Yanyu L, Hao Z.   +10 more
europepmc   +1 more source

How to Measure the Diagnostic Accuracy of Noninvasive Liver Fibrosis Indices: The Area Under the ROC Curve Revisited [PDF]

, 2008
Jérôme Lambert, Philippe Halfon, Guillaume Pénaranda, Pierre Bédossa, P. Cacoub, Fabrice Carrat   +5 more
openalex   +1 more source

SCORCH2: A Generalized Heterogeneous Consensus Model for High‐Enrichment Interaction‐Based Virtual Screening

Advanced Science, EarlyView.
Researchers developed SCORCH2, an advanced machine‐learning scoring function for virtual screening that combines two complementary XGBoost models to re‐evaluate protein‐ligand binding plausibility. The method demonstrates superior performance on standard benchmarks, shows excellent generalization to previously unseen protein targets, and provides ...
Lin Chen, Vincent Blay, Pedro J. Ballester, Douglas R. Houston   +3 more
wiley   +1 more source

"Relationship between right atrial pressure and the Model For End-Stage Liver Disease (MELD) score in patients with advanced heart failure": Correlation analysis and ROC curve method. [PDF]

Turk Gogus Kalp Damar Cerrahisi Derg, 2022
Yay M.
europepmc   +1 more source

Clathrin Light Chain B Drives Hepatocellular Carcinoma Progression Through Dual Mechanisms: Small Extracellular Vesicle‐Mediated Angiogenesis and the NF‐κB–PCLAF Signaling Axis

Advanced Science, EarlyView.
Clathrin Light Chain B (CLTB) drives hepatocellular carcinoma progression through dual pathways: intracellularly, it activates the NF‐κB–PCLAF axis to enhance small extracellular vesicle (sEV) uptake and tumor proliferation; extracellularly, CLTB‐enriched sEVs bind SH3KBP1 to inhibit its degradation, inducing angiogenesis and vascular leakage ...
Xiaoke Sun, Junchen Guo, Ning Zhao, Guanghua Cui, Yun Bai, Meijuan Ding, Yi Xu, Yu Yang   +7 more
wiley   +1 more source

Nonparametric Estimation of ROC Curves in the Absence of a Gold Standard

, 2005
Xiao‐Hua Zhou, Pete Castelluccio, Chuan Zhou   +2 more
openalex   +2 more sources