Table_1_Deep learning-based multimodality classification of chronic mild traumatic brain injury using resting-state functional MRI and PET imaging.DOCX حسب Faezeh Vedaei (11875157)

"…Single and multimodality algorithms integrating multiple rs-fMRI metrics and PET data were developed. …"

DataSheet_1_Machine learning model for cardiovascular disease prediction in patients with chronic kidney disease.zip حسب He Zhu (1391056)

"…Seven machine learning classification algorithms were used to build models, which were evaluated by receiver operating characteristic curves, accuracy, sensitivity, specificity, and F1-score, and Shapley Additive explanations was used to interpret the model results. …"

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data حسب Fei Xue (24567)

"…In contrast to most existing approaches which are designed to maximize the expected survival time under a binary treatment framework, the proposed method solves the multicategory treatment problem given multiple stages for censored data. Specifically, the proposed method obtains the optimal DTR via integrating estimations of decision rules at multiple stages into a single multicategory classification algorithm without imposing additional constraints, which is also more computationally efficient and robust. …"

Table_1_Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes.XLSX حسب Yu-Hang Zhang (190330)

"…Then, the list was fed into the incremental feature selection (IFS), incorporating support vector machine (SVM) as the classification algorithm, to extract essential annotations and build efficient classifiers. …"

Table_2_Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes.XLSX حسب Yu-Hang Zhang (190330)

"…Then, the list was fed into the incremental feature selection (IFS), incorporating support vector machine (SVM) as the classification algorithm, to extract essential annotations and build efficient classifiers. …"

Table_6_Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes.XLSX حسب Yu-Hang Zhang (190330)

"…Then, the list was fed into the incremental feature selection (IFS), incorporating support vector machine (SVM) as the classification algorithm, to extract essential annotations and build efficient classifiers. …"

Table_4_Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes.XLSX حسب Yu-Hang Zhang (190330)

"…Then, the list was fed into the incremental feature selection (IFS), incorporating support vector machine (SVM) as the classification algorithm, to extract essential annotations and build efficient classifiers. …"

Table_5_Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes.XLSX حسب Yu-Hang Zhang (190330)

"…Then, the list was fed into the incremental feature selection (IFS), incorporating support vector machine (SVM) as the classification algorithm, to extract essential annotations and build efficient classifiers. …"

Table_3_Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes.XLSX حسب Yu-Hang Zhang (190330)

"…Then, the list was fed into the incremental feature selection (IFS), incorporating support vector machine (SVM) as the classification algorithm, to extract essential annotations and build efficient classifiers. …"

Table1_Construction of nomogram based on clinical factors for the risk prediction of postoperative complications in children with choledochal cyst.xlsx حسب Yang Lin (162495)

"…</p>Results<p>Of 131 children, the multivariate logistics regression analysis suggested that age ≤2 years [odds ratio (OR) 0.93; 95% confidence interval (CI) 0.15–5.65; p = 0.938], Todani classification type 1 (OR 36.58; 95% CI 4.14–871.74; p = 0.005), cyst wall thickness >0.4 cm (OR 10.82; 95% CI 2.88–49.13; p < 0.001), with chronic cholecystitis (OR 7.01; 95% CI 1.62–38.52; p = 0.014), and choledochal cyst diameter (OR 1.01; 95% CI 0.99–1.03; p = 0.370) were predictors associated with the postoperative complications of choledochal cysts. …"