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资源简介：
Analyzing Health Indicators and Predicting Diabetes Risk
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创建时间：
2026-08-19
相关数据集
Additional file 2 of Genetic predisposition to impaired metabolism of the branched chain amino acids, dietary intakes, and risk of type 2 diabetes
Additional file 2: Supplementary Table 2. Characteristics on baseline of nested case-control participants by by genetic risk score.
Figshare2024-02-12 更新40
Results from crude and adjusted analysis of change in fentanyl dose, ESAS QoL-score and infections (% days with antibiotics) compared to baseline in vitamin D treated and untreated patient after 1 month.
Figures show mean value (95% CI).
NIAID Data Ecosystem40
Multivariate adjusted logistic regression model for the incidence of new-onset diabetes by the combination pattern of obesity and FLI-NAFLD.
Multivariate adjusted logistic regression model for the incidence of new-onset diabetes by the combination pattern of obesity and FLI-NAFLD.
NIAID Data Ecosystem20
Machine learning algorithms for diabetic kidney disease risk predictive model of Chinese patients with type 2 diabetes mellitus
Diabetic kidney disease (DKD) is a common and serious complication of diabetic mellitus (DM). More sensitive methods for early DKD prediction are urgently needed. This study aimed to set up DKD risk p
Taylor & Francis Group2025-05-14 更新40
Clinical Baseline Characteristics per Cycle and per Woman According to BMI.
Data is presented as median (25/75 percentile) unless otherwise stated.
NIAID Data Ecosystem20
