Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Sensitivity analysis, the effect of decreasing the modelled incidence rates by 10%. by Nourhan Shafik (16436745)

Comparison of mean differences in temperature decreases. by Hans-Jörg Gillmann (8460585)

The overall decomposition analysis of the decrease in pre-lacteal feeding practice among reproductive-age women in Ethiopia, 2005 to 2016. by Achamyeleh Birhanu Teshale (8357232)

The relationship between T-Score (Cutoff, −1.0) for femoral BMD and the occurrence of age-related macular degeneration in women and men. by Agnieszka Budnik (17241045)

Subjects:

Expression of ApoB-50 decreased lipid accumulation and inhibited HCV production. by Bei Wang (116772)

Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

Sensitivity analysis, the effect of decreasing the conditional probabilities of localized breast cancers. by Nourhan Shafik (16436745)

Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula? by Isa Sincer (7234577)

“…Several studies have shown the association between mean platelet volume (MPV) and cardiovascular diseases. …”

Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures, arranged in order of decreasing mean age and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Comparison of 6 virtues between the two groups [PCOS (n = 49); non-PCOS (n = 50)]. by Ghina Ghazeeri (766076)

Tax expression is associated with decreased cellular motility. by Saumya Ramanayake (7879091)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Subjects:

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Subjects:

Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

“…<p>Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”

Scatter plot for the absolute decrease in CS rates (A) and the relative decrease in CS rates (B) from 2008 to 2016 among hospitals in Guangzhou grouped by their baseline CS rates. by Xiaoyan Xia (560153)

“…One circle represents one hospital, with blue (<i>n</i> = 20), green (<i>n</i> = 36), orange (<i>n</i> = 34), and purple (<i>n</i> = 22) representing baseline CS rates of <30%, 30%–39%, 40%–49%, and ≥50%, respectively. The absolute decrease = the CS rate at baseline − the CS rate in Stage 2; the relative decrease = (the CS rate at baseline − the CS rate in Stage 2) ÷ the CS rate at baseline. …”

Identification of Gut Microbiota Biomarker Genera Distinguishing Wild and Captive Animals (A) Top 50 discriminative genera selected by random forest classifier, ranked by mean decrease accuracy. by Lin Xu (94491)

Cumulative distribution of EQ-5D-3L utilities decreasingly ordered before and after the onset of cutaneous leishmaniasis symptoms. by Janaína de Pina Carvalho (12152812)

Characteristics of premenopausal and postmenopausal women. by Siyi Deng (12887198)

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