Search alternatives:
significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
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861
Table 5_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.xlsx
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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862
Image 2_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.jpg
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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863
Table 3_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.xlsx
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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864
Table 4_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.xlsx
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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865
Table 9_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.xlsx
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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866
Table 7_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.xlsx
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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867
Table 14_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.xlsx
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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868
Table 6_Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032.xlsx
Published 2025“…SDI was negatively linked to the measles prevalence (R = −0.703, p < 0.001), and an increase in SDI significantly reduced the burden of measles. The prevalence of measles was highest among children under 5 years old and slightly higher in males than in females. …”
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869
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870
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871
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872
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873
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874
Table 3_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.xlsx
Published 2025“…</p>Results<p>The ERSG signature, consisted of HSPA1A, SERPINA1, and DAPK1, could predict the prognosis of patients with COAD. Clinicopathologic characteristics were significantly correlated with risk scores. …”
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875
Table 2_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.xlsx
Published 2025“…</p>Results<p>The ERSG signature, consisted of HSPA1A, SERPINA1, and DAPK1, could predict the prognosis of patients with COAD. Clinicopathologic characteristics were significantly correlated with risk scores. …”
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876
Image 2_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.tif
Published 2025“…</p>Results<p>The ERSG signature, consisted of HSPA1A, SERPINA1, and DAPK1, could predict the prognosis of patients with COAD. Clinicopathologic characteristics were significantly correlated with risk scores. …”
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877
Table 1_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.docx
Published 2025“…</p>Results<p>The ERSG signature, consisted of HSPA1A, SERPINA1, and DAPK1, could predict the prognosis of patients with COAD. Clinicopathologic characteristics were significantly correlated with risk scores. …”
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878
Image 3_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.tif
Published 2025“…</p>Results<p>The ERSG signature, consisted of HSPA1A, SERPINA1, and DAPK1, could predict the prognosis of patients with COAD. Clinicopathologic characteristics were significantly correlated with risk scores. …”
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879
Image 1_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.tif
Published 2025“…</p>Results<p>The ERSG signature, consisted of HSPA1A, SERPINA1, and DAPK1, could predict the prognosis of patients with COAD. Clinicopathologic characteristics were significantly correlated with risk scores. …”
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880
Data Sheet 1_A machine learning model for predicting the risk of diabetic nephropathy in individuals with type 2 diabetes mellitus.docx
Published 2025“…Subsequently, we employed LASSO regression to identify variables significantly associated with DKD in T2DM patients. These variables were incorporated into eight distinct predictive models: Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), Gaussian Naive Bayes (GNB), KNeighbors Classifier (KNN), Gradient Boosting Classifier (GBM), AdaBoost Classifier (AdaBoost), and Extreme Gradient Boosting (XGBoost). …”