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Optimization of biomarkers-based classification scores as progression-free survival predictors: an intuitive graphical representation

机译：优化基于生物标志物的分类分数作为无进展生存预测指标：直观的图形表示

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摘要

Aim:To construct classification scores based on a combination of cancer patient plasma biomarker levels, for predicting progression-free survival.

机译：目的：基于癌症患者血浆生物标志物水平的组合构建分类评分，以预测无进展生存期。

著录项

期刊名称 Future Science OA
作者
Marian Manciu; Sorour Hosseini; Teresa Di Desidero; Giacomo Allegrini; Alfredo Falcone; Guido Bocci; Robert A Kirken; Giulio Francia;
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作者单位

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年(卷),期 2018(4),10
年度 2018
页码 FSO346
总页数 12
原文格式 PDF
正文语种
中图分类情报学;
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入库时间 2022-08-17 12:10:31

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专利

1. Optimization of biomarkers-based classification scores as progression-free survival predictors: an intuitive graphical representation [J] . Marian Manciu, Sorour Hosseini, Teresa Di Desidero, Future Science OA . 2018,第10期

机译：优化基于生物标志物的分类分数作为无进展生存预测指标：直观的图形表示
2. A radiomics prognostic scoring system for predicting progression-free survival in patients with stage Ⅳ non-small cell lung cancer treated with platinum-based chemotherapy [J] . Lan He, Zhenhui Li, Xin Chen, 中国癌症研究（英文版） . 2021,第005期

机译：铂Ⅳ期Ⅳ期Ⅳ期患者预测进展存活的辐射族学预测系统
3. COPPS, a composite score integrating pathological features, PS100 and SDHB losses, predicts the risk of metastasis and progression-free survival in pheochromocytomas/paragangliomas [J] . Pierre Charlie, Agopiantz Mikael, Brunaud Laurent, Virchows Archiv: an international journal of pathology . 2019,第6期

机译：COPP，综合评分集成了病理特征，PS100和SDHB损失，预测了嗜铬细胞瘤/巴拉邦族瘤中转移和无进展生存的风险
4. Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience [C] . Roberto Santana, Concha Bielza, Pedro Larranaga IEA/AIE 2010;International conference on industrial engineering and other applications of applied intelligent systems . 2010

机译：基于网络的表示形式与神经科学中分类，推断和优化问题的概率图形模型之间的协同作用
5. Predicting Survival Among Colorectal Cancer Patients: Development and Validation of Polygenic Survival Score [D] . Maawadh, Rawan Mohammed. 2020

机译：预测结肠直肠癌患者的生存：多基因生存率的发展和验证
6. Development of a Human Leukocyte Antigen Score to Predict Progression-Free Survival in Head and Neck Squamous Cell Carcinoma Patients [O] . Gunnar Wichmann, Claudia Lehmann, Cindy Herchenhahn, 2018

机译：人类白细胞抗原评分的发展以预测头颈部鳞状细胞癌患者的无进展生存期
7. The smLRP1/LRP1 Score is a predictor of progression-free (PFS) and overall survival (OS) in patients with head and neck squamous cell carcinoma (HNSCC) [O] . M Kolb, S Wiegand, A Dietz, 2019

机译：SMLRP1 / LRP1得分是头部和颈部鳞状细胞癌（HNSCC）的无进展（PFS）和整体存活（OS）的预测因子

Optimization of biomarkers-based classification scores as progression-free survival predictors: an intuitive graphical representation

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