官方服务：
资源简介：
Pima Indians Diabetes (PID).
应用场景：
创建时间：
2017-04-04
相关数据集
lasso_rf_regression_output_df_with_AUCs.csv
CSV all all models for the manuscript " The tenuous role of metagenomics in predicting T1D: specification curve analysis on the TEDDY cohort "
DataCite Commons2025-02-02 更新80
Performance analyses of different algorithms using k-fold cross validation technique for PID dataset.
Performance analyses of different algorithms using k-fold cross validation technique for PID dataset.
Figshare2025-12-05 更新30
Training time analysis of different algorithms for PID dataset using k-fold cross validation technique.
Training time analysis of different algorithms for PID dataset using k-fold cross validation technique.
NIAID Data Ecosystem20
Table_1_Insights of Host Physiological Parameters and Gut Microbiome of Indian Type 2 Diabetic Patients Visualized via Metagenomics and Machine Learning Approaches.DOC
Type 2 diabetes (T2D) is a serious public health issue and may also contribute to modification in the structure of the intestinal microbiota, implying a link between T2D and microbial inhabitants in t
NIAID Data Ecosystem40
Establishing a model for predicting type 2 diabetes mellitus with cognitive impairment
收集患者身高、体重、腰围、臀围、生活饮食习惯、糖尿病史等资料，并检测患者血清PDGFRβ、HDL-3、Nesfatin-1、GDF-15、FPN及1,5-AG水平，利用方差分析或KW检验，以是否合并MCI或De为结局，分析各组间各个指标的差异，采用多因素COX比例风险回归分析，筛选出T2DM并发MCI或De的独立危险因素，构建T2DM合并MCI或T2DM合并De的风险Nomogram模型，并按照7
DataCite Commons2025-04-27 更新30
