Results of the multiple logistic regression analysis.

NIAID Data Ecosystem2026-03-08 收录

生物标志物预测

临床诊断模型

数据链接：

https://figshare.com/articles/dataset/_Results_of_the_multiple_logistic_regression_analysis_/1057189 数据链接链接失效反馈

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资源简介：

WBC: white blood cell; LA: lactic acid; I-FABP: intestinal fatty acid-binding protein.

创建时间：

2014-06-13

Table_1_Prediction of Hemorrhagic Transformation After Ischemic Stroke: Development and Validation Study of a Novel Multi-biomarker Model.DOCX

缺血性卒中

生物标志物预测

Objectives: We aimed to develop and validate a novel multi-biomarker model for predicting hemorrhagic transformation (HT) risk after acute ischemic stroke (AIS). Methods: We prospectively included pat

NIAID Data Ecosystem30

Data_Sheet_1_Predictive Value of Serum Cytokeratin 19 Level for the Feasibility of Conserving Ovaries in Endometrial Cancer.doc

妇科肿瘤预后预测

生物标志物预测

Objective: To determine the predictive value of cytokeratin 19 (CK19) for evaluating the safety of ovarian preservation in patients with endometrial cancer (EC). Methods: Five hundred and seventeen EC

NIAID Data Ecosystem20

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 Ecosystem10

PREDICTIVE MARKERS OF THE EFFICACY IN METASTATIC COLORECTAL TUMOR TREATED WITH CETUXIMAB - PHASE 2 STUDY

生物标志物预测

结直肠癌靶向治疗

Primary objectives: Assessing in patients with metastatic colorectal cancer refractory to treatment with chemotherapy and Irinotecan 5FU the correlation between the response to treatment with Cetuxima

NIAID Data Ecosystem20

Predictors of clinical feature change in stable-state.

生物标志物预测

疾病进展建模

Linear regression models were used to estimate predictors of change in clinical features and were adjusted for age, sex, body mass index, and smoking pack-years. Inflammatory markers were used as inde

NIAID Data Ecosystem10

Results of the multiple logistic regression analysis.

资源简介：

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