Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Study flowchart. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Risk of bias graph. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

Characteristics of included studies. حسب Kaiyu Zhang (198799)

"…With respect to the total effective rate, α-RBs+ needling was most likely to be the optimal treatment. …"

An overview of the experimental paradigm. حسب Nienke E. R. van Bueren (11414330)

UK Biobank data wrangling statistics and results. حسب Simeone Marino (81051)

Supplementary Material for: Prediction of 28-day all-cause mortality in heart failure patients with Clostridioides difficile infection using machine learning models: evidence from... حسب Shi C. (4131748)

"…And nine machine learning (ML) algorithms, including logistic regression (LR), decision tree (DT), bayesian, adaptive boosting (AdaBoost), random forest (RF), gradient boosting decision tree (GBDT), XGBoost, light gradient boosting machine (LightGBM), and categorical boosting (CatBoost) were applied for model construction. …"

Flow diagram of the automatic animal detection and background reconstruction. حسب David Tadres (9120564)

"…If the identical blob that was detected in panel J (bottom) is found in any of the new subtracted binary images (cyan arrow), the animal is considered as having left its original position, and the algorithm continues. …"

Data Sheet 1_Predictive model for sarcopenia in chronic kidney disease: a nomogram and machine learning approach using CHARLS data.docx حسب Renjie Lu (2021845)

"…The Gradient Boosting Machine (GBM) outperformed other machine learning models. Applying Bayesian optimization to the GBM achieved an AUC of 0.933 (95% CI: 0.913–0.953) on the training set and 0.932 (95% CI: 0.905–0.960) on the validation set. …"

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…</p><p dir="ltr">In terms of classification, a second algorithm was developed and employed to preliminary sort or group the individual cells (after excluding the overlapping cells manually) into different categories using five geometric measurements applied to the extracted contour from each binary image mask (see PathOlOgics_script_2; preliminary shape measurements). …"

Table 1_Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.docx حسب Ali Nabavi (21097424)

"…Multiple machine learning algorithms, including Random Forest, XGBoost, Gradient Boosting, Logistic Regression, CatBoost, and MLP, were optimized and evaluated. …"