Age as a predictor of ARC using the receiver operating curves.

NIAID Data Ecosystem2026-03-10 收录

年龄预测ARC

临床诊断模型

数据链接：

https://figshare.com/articles/dataset/Age_as_a_predictor_of_ARC_using_the_receiver_operating_curves_/7444490 数据链接链接失效反馈

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资源简介：

Age as a predictor of ARC using the receiver operating curves.

创建时间：

2018-12-10

Results of the models'diagnostic performances at predefined cut-off points.

临床诊断模型

统计优化

model 1: 20 variables; model 2: 10 variables; 1Youden Index method, 2Cut-off at LR− 0.12, 3Cut-off at LR+ 4.93. Results of the models'diagnostic performances at predefined cut-off points.

NIAID Data Ecosystem110

Ten most common clinical diagnoses of high hospital users.

医疗资源利用分析

临床诊断模型

Ten most common clinical diagnoses of high hospital users.

Figshare2021-05-06 更新40

Accuracy, specificity and sensitivity obtained by the Neural Network (NN), Logistic Regression (LR), Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms, for each of the four clinical stages.

临床诊断模型

机器学习性能比较

NIAID Data Ecosystem20

Multivariate analyses performed by using a stepwise logistic regression model to identify the risk factors for malignant results in patients who had neck LNs with indeterminate cytology.

淋巴结恶性预测

临床诊断模型

Multivariate analyses performed by using a stepwise logistic regression model to identify the risk factors for malignant results in patients who had neck LNs with indeterminate cytology.

NIAID Data Ecosystem60

Individual Assignment of Adult Diffuse Gliomas into the EM/PM Molecular Subtypes Using a TaqMan Low-Density Array [Taqman Low Density Array]

胶质瘤分子分型

临床诊断模型

Diagnosis of glioma into the hierarchy of human brain development would greatly facilitate mechanistic studies and clinical services in combating glioma. By analysing the multi-dimension big data of g

NIAID Data Ecosystem40

Age as a predictor of ARC using the receiver operating curves.

资源简介：

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