Predictor and prognostic modeling in cardiorenal syndrome type 2: a retrospective study of multicenter [0.03%]
二型心肾综合征预测和预后模型的多中心回顾性研究
Bin Wang,Xie Zheng,Qinghui Fu et al.
Bin Wang et al.
Background: Type 2 CRS is characterized by the development of renal dysfunction secondary to chronic cardiac disease. Despite its high morbidity and mortality, there is a lack of robust diagnostic tools and prognostic mod...
Prediction of tumor deposits in stage I-III gastric cancer: a clinically applicable nomogram integrating clinicopathology outcomes [0.03%]
结合临床病理结果预测一期至三期胃癌患者肿瘤沉积的预后模型
Kunjie Wang,Yue Huo,Yuanfang Zhang et al.
Kunjie Wang et al.
Objective: This study seeks to identify clinicopathological risk factors associated with tumor deposits (TD) development in stage I-III gastric cancer patients and to construct a visualized predictive model for clinical a...
Development and validation of a risk prediction model for activities of daily living dysfunction in stroke survivors [0.03%]
缺血性卒中患者日常生活能力下降的预后模型的建立及验证
Fangbo Lin,Nan Liu
Fangbo Lin
Objective: Stroke is a leading cause of disability worldwide, imposing a significant burden on patients, families, and society. To create and verify a prediction model for activities of daily living (ADL) dysfunction in s...
Single-cell and bulk RNA analysis identifies EMT-associated CAF signatures and prognostic model in lung adenocarcinoma [0.03%]
单细胞和批量RNA分析鉴定肺癌腺癌相关EMT表型的CAF特征及预后模型
He An,Ping An
He An
Background: Cancer-associated fibroblasts (CAFs) have gained increasing attention for their role in lung adenocarcinoma (LUAD), particularly in epithelial-mesenchymal transition (EMT), which may play a key role in tumor m...
Hua Guo,Shi Wei
Hua Guo
Cancer prognostic models use a combination of risk factors to estimate the probability of patients' clinical outcomes, allowing the physicians to categorize patients into risk groups to guide clinical decision making. An ideal prognostic mo...
Identification of stemness subtypes and prognostic modeling in thyroid cancer: the critical role of DPYSL3 in tumor progression and immune microenvironment [0.03%]
甲状腺癌干细胞亚型的识别及预后模型构建：DPYSL3基因在肿瘤进展和免疫微环境中的关键作用
Jialong Yu,Wei Luo,Guangwei Xu et al.
Jialong Yu et al.
Purpose: The objective of this study was to develop and evaluate a novel classifier and prognostic model based on the stemness characteristics of thyroid cancer patients. ...
Development and internal validation of machine learning prognostic models of sports injuries using self-reported data in athletics (track and field): The influence of quantity and quality of features [0.03%]
基于自报告数据的机器学习运动损伤预后模型在田径项目中的开发和内部验证：特征数量和质量的影响
Spyridon Iatropoulos,Pierre-Eddy Dandrieux,Pascal Edouard et al.
Spyridon Iatropoulos et al.
To compare the performance of sports injury prognostic machine learning models when trained on (i) baseline data (i.e. collected once) vs. monitoring data (i.e. collected frequently over a period), (ii) raw monitoring data vs. time-integrat...
A multi-omics prognostic model of cuproptosis affects the prognosis of stomach adenocarcinoma [0.03%]
铜死亡多组学预后模型影响胃腺癌的预后
Yinying Wu,Yangwei Fan,Xuyuan Dong et al.
Yinying Wu et al.
Background: Cuproptosis, a form of cell death associated with copper ions, has been linked to the pathogenesis of various cancers, including gastric cancer. Investigating the role of cuproptosis-related genes through mult...
Machine learning-driven construction and validation of an intra-tumoral heterogeneity-associated prognostic model for bladder urothelial carcinoma [0.03%]
基于机器学习的构建和验证用于预测膀胱尿路上皮癌肿瘤内异质性相关预后的模型
Yiwei Gu,Hui Zhuo
Yiwei Gu
Intra-tumoral heterogeneity (ITH) plays a crucial role in tumor progression and prognosis. This study aimed to construct a prognostic model for bladder urothelial carcinoma (BLCA) based on ITH-related genes. Transcriptomic and clinical data...
Machine-learning-based prognostic models for independence in toilet-related activities in patients with subacute stroke: a retrospective study [0.03%]
基于机器学习的卒中亚急性期患者如厕活动能力预后模型的研究
Yuta Miyazaki,Michiyuki Kawakami,Kunitsugu Kondo et al.
Yuta Miyazaki et al.
Background: Independence in toilet‑related activities critically shapes discharge planning and caregiver burden after stroke. Reliable early‑stage prediction models could therefore aid individualized rehabilitation. ...
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