Multivariate analysis for predicting NAC involvement.

NIAID Data Ecosystem2026-03-10 收录

生物医学预测

肿瘤手术评估

数据链接：

https://figshare.com/articles/dataset/Multivariate_analysis_for_predicting_NAC_involvement_/7080239 数据链接链接失效反馈

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资源简介：

Multivariate analysis for predicting NAC involvement.

创建时间：

2018-09-12

Supplementary Material for: Performance of Ultrasound for Identifying Morphological Characteristics and Thickness of Cutaneous Basal Cell Carcinoma: A Systematic Review

超声诊断

肿瘤手术评估

Advances in ultrasound technology and non-surgical treatments of basal cell carcinomas (BCCs) have raised the need to study the performance of high-frequency ultrasound (HFUS) in BCCs. We aimed to ass

NIAID Data Ecosystem60

Clinicopathologic characteristics of patients in the training and test dataset.

临床病理特征

生物医学预测

Clinicopathologic characteristics of patients in the training and test dataset.

NIAID Data Ecosystem40

Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection.

生物医学预测

基因表达分类

We predicted patient states using gene-expression and clinical predictors (Analysis 5). Using each respective training set, we performed feature selection for each of 14 feature-selection algorithms a

Figshare2022-03-11 更新30

Yearly proportional change of individual RNS components in the partial nephrectomy group.

肿瘤手术评估

RNS评分监测

Yearly proportional change of individual RNS components in the partial nephrectomy group.

Figshare2015-12-03 更新40

Novel aggregate deletion/substitution/addition learning algorithms for recursive partitioning

集成学习算法

生物医学预测

Motivation : Many complex diseases are caused by a variety of both genetic and environmental factors acting in conjunction. To help understand these relationships, non-parametric methods that ut

Taylor & Francis Group2017-04-19 更新30

Multivariate analysis for predicting NAC involvement.

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