General characteristics of the participants according to the development of diabetes in 2007.

NIAID Data Ecosystem2026-03-10 收录

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https://figshare.com/articles/dataset/General_characteristics_of_the_participants_according_to_the_development_of_diabetes_in_2007_/5019398 数据链接链接失效反馈

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General characteristics of the participants according to the development of diabetes in 2007.

创建时间：

2017-05-19

Interaction between cigarette smoking and plasma folate stratified by DNMT3 polymorphism on UC risk evaluated by multivariate logistic regression models.

遗传流行病学

疾病风险预测

ref.: reference group. aMultivariate OR values were adjusted for age, gender, educational level, and cumulative cigarette smoking. *p<0.05 by trend test.

NIAID Data Ecosystem40

Targeted Local Support Vector Machine for Age-Dependent Classification

疾病风险预测

年龄依赖分类

We develop methods to accurately predict whether presymptomatic individuals are at risk of a disease based on their various marker profiles, which offers an opportunity for early intervention well bef

Figshare2018-12-06 更新10

微量元素代谢性疾病全程健康管理数据资源库

微量元素代谢病管理

疾病风险预测

整体构建代谢性疾病全程健康管理体系，采集疾病筛查、干预、随访全流程健康数据；采用统一数据规范完成数据标准化加工与整合；运用风险预测算法构建疾病全程管理模型，形成全流程数据处理管理规则，不涉及个人信息与公共数据。

贵州省数据知识产权登记平台2026-06-17 更新10

Numbers of cases and controls (in 1000s of each, rounded up) required to attain a specified AUC using a panel of 1,000,000 markers that explains the full heritability.

遗传关联研究

疾病风险预测

π0, proportion of SNPs having no effect on disease. Max, maximum AUC achievable given the genetic variance of the marker panel. In parentheses, P-value threshold that maximises the AUC.

NIAID Data Ecosystem30

Classification of cohort members according to early expressions of psychopathology and risk and subsequent caseness: Positive and Negative Predictive Values (PPV; NPV), Area Under the Curve (AUC) and 95% Confidence Intervals (CI).

疾病风险预测

诊断模型评估

Classification of cohort members according to early expressions of psychopathology and risk and subsequent caseness: Positive and Negative Predictive Values (PPV; NPV), Area Under the Curve (AUC) and

NIAID Data Ecosystem10

General characteristics of the participants according to the development of diabetes in 2007.

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