NSTL国家科技图书文献中心

1. Study on risk factors of carotid atherosclerosis in type 2 diabetes mellitus and development of prediction model NSTL国家科技图书文献中心

Chen, Xiaohuan | Shi, Jiacheng ... - 《International journal of diabetes in developing countries.》 - 2025,45(1) - 234～242 - 共9页

摘要： shrinkage and selection operator regression and stepwise | an accurate and simple prediction model* for its* | backward regression* were used to screen variables, and* | multivariate logistic regression* analysis was performed to* | probability of model A is slightly worse than that of model

关键词： Type 2 diabetes mellitus | Carotid atherosclerosis | Prediction model | LASSO regression | Stepwise backward regression

2. Volumetric drag coefficients for generic urban configurations: Insights from canopy flow analysis NSTL国家科技图书文献中心

Zhang M. | Peng Y.... - 《Building and environment》 - 2025,267(Jan. Pt.A) - 1.1～1.25 - 共25页

摘要： stepwise regression provides a recommended formula for Cd | periodic boundary conditions are performed to model* fully* | © 2024 Elsevier LtdAlternative drag approaches | for representing unresolved buildings were proposed | in literature for computational fluid dynamics (CFD

关键词： Drag parameterization | Height variability | Simplified airflow model | Stepwise regression | Urban morphology | Urban ventilation

3. Development and validation of a predictive model for readmission of major depressive disorder patients with suicide attempts NSTL国家科技图书文献中心

Hao, Xinmei | Wang, Ligang ... - 《International journal of psychiatry in clinical practice》 - 2025,29(2) - 82～90 - 共9页

摘要： software. To develop a stepwise* regression model, the | these variables to build a predictive model in R* | The study aimed to investigate the | determinants associated with readmission in first | -hospitalised major depressive disorder (MDD) patients with

关键词： Suicide attempts | major depressive disorder | first-time hospitalised | readmission | predictive model

4. Intelligent design and database development of micro-texture ball-end milling cutters NSTL国家科技图书文献中心

Yang, Shucai | Liu, Lukai ... - 《Journal of the Brazilian Society of Mechanical Sciences and Engineering》 - 2025,47(1) - 共21页

摘要：. Then, the stepwise* regression model was used as the* | There is an urgent need for the selection of | micro-texture parameters and cutting parameters, as | well as the rapid design of texture cutting tools, in | response to the micro-texture ball-end milling technology

关键词： Micro-texture | Ball-end milling cutter | Milling performance | Prediction model | Parameter optimization | Data system

5. Evaluation of rapid evaporative ionization mass spectrometry (REIMS) for the prediction of slice shear force and quality grades in beef longissimus lumborwn steaks NSTL国家科技图书文献中心

Kaitlyn R. Loomas | Dale R. Woerner ... - 《Meat Science》 - 2025,222(Apr.) - 109752.1～109752.10 - 共10页

摘要：, P < 0.001). A stepwise* regression model was built* | categories (±2) for further predictions. No model* could* | Steak samples were collected from the | longissimus lumborum muscles of beef carcasses (Canada AA, n | = 1505; Canada AAA, n = 1363) over a 3-year period

关键词： REIMS | Beef | Tenderness | Machine learning algorithms

6. Multi-model subset selection NSTL国家科技图书文献中心

Christidis, Anthony-... | Van Aelst, Stefan ... - 《Computational statistics & data analysis》 - 2025,203 - 共17页

摘要：-model* regression ensembles. The sparse and diverse* | regression is also generalized to multi-model regression | -dimensional regression* problems are sparse methods (e.g* | outperformed by "blackbox" multi-model* ensemble methods. A* | regression ensemble is introduced which combines the

关键词： High-dimensional data | Ensemble methods | Multi-model optimization | Sparse methods

7. Development and validation of a predictive risk tool for VTE in women with breast cancer under chemotherapy: a cohort study in China NSTL国家科技图书文献中心

Xu, Qianjie | Li, Xiaosheng ... - 《Breast cancer》 - 2025,32(1) - 154～165 - 共12页

摘要： stepwise multivariate Cox regression analysis identified | and develop a Nomogram risk prediction model | Univariate Cox regression* analysis assessed the impact of* | constructed a Nomogram model. The model's performance was | %) developed VTE. Cox regression* analysis identified that*

关键词： Breast cancer | Chemotherapy | VTE | Nomogram | Risk prediction

8. Comparison of corrected surface reflectance, principal component analysis, and kernel principal component analysis for seagrass percent cover mapping using Sentinel-2 based on various regression models NSTL国家科技图书文献中心

Pramaditya Wicaksono | Setiawan Djody Harah...... - 《Active and Passive Remote Sensing of Oceans,Seas,and Lakes》 - Active and Passive Remote Sensing of Oceans,Seas,and Lakes (conference) - 2025, - 132640B.1～132640B.15 - 共15页

摘要： application of various regression models, including stepwise | regression (SWR), automated partial least squares | regression (AutoPLSR), random forest regression (RFR), and | support vector machine regression* (SVR). The metrics for* | evaluating the accuracy of different input-model

关键词： Seagrass | Percent cover | Accuracy assessment | Sentinel-2 | PCA | KPCA | Regression models

9. Hybrid statistical and machine-learning approach to hearing-loss identification based on an oversampling technique NSTL国家科技图书文献中心

Wang T.-C. | Sun K.-H.... - 《Computers in Biology and Medicine》 - 2025,185 - Article 109539～Article 109539 - 共12页

摘要： mechanism. We expect the proposed model* to help predict* | implement classification models. A stepwise* method and a* | classes. Phase III focused on the final model* selection* | , namely, the logistic regression, multilayer perceptron | features through the stepwise* technique and RF method*

关键词： Feature selection | Hearing loss | Logistic regression | Multilayer perceptron | Support vector machine | Synthetic minority oversampling technique

10. The Association Between Direct Health Costs Related to Non-communicable Diseases and Physical Activity in Elderly People NSTL国家科技图书文献中心

Zhang, Junlong | Li, Bo - 《Journal of Prevention》 - 2025,46(1) - 121～132 - 共12页

摘要： model as predictor variables to perform a stepwise | regression model. The model explained 24.8% of the | multiple linear regression* analysis was used to identify* | regression analysis. Four variables of age, BMI, Fitbit | The aim of this study was to evaluate the

关键词： Type 2 diabetes mellitus | Carotid atherosclerosis | Prediction model | LASSO regression | Stepwise backward regression

摘要： stepwise regression provides a recommended formula for Cd | periodic boundary conditions are performed to model* fully* | © 2024 Elsevier LtdAlternative drag approaches | for representing unresolved buildings were proposed | in literature for computational fluid dynamics (CFD

关键词： Drag parameterization | Height variability | Simplified airflow model | Stepwise regression | Urban morphology | Urban ventilation

摘要： software. To develop a stepwise* regression model, the | these variables to build a predictive model in R* | The study aimed to investigate the | determinants associated with readmission in first | -hospitalised major depressive disorder (MDD) patients with

关键词： Suicide attempts | major depressive disorder | first-time hospitalised | readmission | predictive model

摘要：. Then, the stepwise* regression model was used as the* | There is an urgent need for the selection of | micro-texture parameters and cutting parameters, as | well as the rapid design of texture cutting tools, in | response to the micro-texture ball-end milling technology

关键词： Micro-texture | Ball-end milling cutter | Milling performance | Prediction model | Parameter optimization | Data system

摘要：, P < 0.001). A stepwise* regression model was built* | categories (±2) for further predictions. No model* could* | Steak samples were collected from the | longissimus lumborum muscles of beef carcasses (Canada AA, n | = 1505; Canada AAA, n = 1363) over a 3-year period

关键词： REIMS | Beef | Tenderness | Machine learning algorithms

摘要：-model* regression ensembles. The sparse and diverse* | regression is also generalized to multi-model regression | -dimensional regression* problems are sparse methods (e.g* | outperformed by "blackbox" multi-model* ensemble methods. A* | regression ensemble is introduced which combines the

关键词： High-dimensional data | Ensemble methods | Multi-model optimization | Sparse methods

摘要： stepwise multivariate Cox regression analysis identified | and develop a Nomogram risk prediction model | Univariate Cox regression* analysis assessed the impact of* | constructed a Nomogram model. The model's performance was | %) developed VTE. Cox regression* analysis identified that*

关键词： Breast cancer | Chemotherapy | VTE | Nomogram | Risk prediction

摘要： application of various regression models, including stepwise | regression (SWR), automated partial least squares | regression (AutoPLSR), random forest regression (RFR), and | support vector machine regression* (SVR). The metrics for* | evaluating the accuracy of different input-model

关键词： Seagrass | Percent cover | Accuracy assessment | Sentinel-2 | PCA | KPCA | Regression models

关键词： Feature selection | Hearing loss | Logistic regression | Multilayer perceptron | Support vector machine | Synthetic minority oversampling technique

摘要： model as predictor variables to perform a stepwise | regression model. The model explained 24.8% of the | multiple linear regression* analysis was used to identify* | regression analysis. Four variables of age, BMI, Fitbit | The aim of this study was to evaluate the

关键词： Aging | China | Chronic disease | Health economy | Lifestyle

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： shrinkage and selection operator regression and stepwise | an accurate and simple prediction model for its | backward regression were used to screen variables, and | multivariate logistic regression analysis was performed to | probability of model A is slightly worse than that of model

关键词： Type 2 diabetes mellitus | Carotid atherosclerosis | Prediction model | LASSO regression | Stepwise backward regression

摘要： stepwise regression provides a recommended formula for Cd | periodic boundary conditions are performed to model fully | © 2024 Elsevier LtdAlternative drag approaches | for representing unresolved buildings were proposed | in literature for computational fluid dynamics (CFD

关键词： Drag parameterization | Height variability | Simplified airflow model | Stepwise regression | Urban morphology | Urban ventilation

摘要： software. To develop a stepwise regression model, the | these variables to build a predictive model in R | The study aimed to investigate the | determinants associated with readmission in first | -hospitalised major depressive disorder (MDD) patients with

关键词： Suicide attempts | major depressive disorder | first-time hospitalised | readmission | predictive model

摘要：. Then, the stepwise regression model was used as the | There is an urgent need for the selection of | micro-texture parameters and cutting parameters, as | well as the rapid design of texture cutting tools, in | response to the micro-texture ball-end milling technology

关键词： Micro-texture | Ball-end milling cutter | Milling performance | Prediction model | Parameter optimization | Data system

摘要：, P < 0.001). A stepwise regression model was built | categories (±2) for further predictions. No model could | Steak samples were collected from the | longissimus lumborum muscles of beef carcasses (Canada AA, n | = 1505; Canada AAA, n = 1363) over a 3-year period

关键词： REIMS | Beef | Tenderness | Machine learning algorithms

摘要：-model regression ensembles. The sparse and diverse | regression is also generalized to multi-model regression | -dimensional regression problems are sparse methods (e.g | outperformed by "blackbox" multi-model ensemble methods. A | regression ensemble is introduced which combines the

关键词： High-dimensional data | Ensemble methods | Multi-model optimization | Sparse methods

摘要： stepwise multivariate Cox regression analysis identified | and develop a Nomogram risk prediction model | Univariate Cox regression analysis assessed the impact of | constructed a Nomogram model. The model's performance was | %) developed VTE. Cox regression analysis identified that

关键词： Breast cancer | Chemotherapy | VTE | Nomogram | Risk prediction

摘要： application of various regression models, including stepwise | regression (SWR), automated partial least squares | regression (AutoPLSR), random forest regression (RFR), and | support vector machine regression (SVR). The metrics for | evaluating the accuracy of different input-model

关键词： Seagrass | Percent cover | Accuracy assessment | Sentinel-2 | PCA | KPCA | Regression models

摘要： mechanism. We expect the proposed model to help predict | implement classification models. A stepwise method and a | classes. Phase III focused on the final model selection | , namely, the logistic regression, multilayer perceptron | features through the stepwise technique and RF method

关键词： Feature selection | Hearing loss | Logistic regression | Multilayer perceptron | Support vector machine | Synthetic minority oversampling technique

摘要： model as predictor variables to perform a stepwise | regression model. The model explained 24.8% of the | multiple linear regression analysis was used to identify | regression analysis. Four variables of age, BMI, Fitbit | The aim of this study was to evaluate the

关键词： Aging | China | Chronic disease | Health economy | Lifestyle

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： stepwise regression provides a recommended formula for Cd | periodic boundary conditions are performed to model* fully* | © 2024 Elsevier LtdAlternative drag approaches | for representing unresolved buildings were proposed | in literature for computational fluid dynamics (CFD

摘要： software. To develop a stepwise* regression model, the | these variables to build a predictive model in R* | The study aimed to investigate the | determinants associated with readmission in first | -hospitalised major depressive disorder (MDD) patients with

摘要：. Then, the stepwise* regression model was used as the* | There is an urgent need for the selection of | micro-texture parameters and cutting parameters, as | well as the rapid design of texture cutting tools, in | response to the micro-texture ball-end milling technology

摘要：, P < 0.001). A stepwise* regression model was built* | categories (±2) for further predictions. No model* could* | Steak samples were collected from the | longissimus lumborum muscles of beef carcasses (Canada AA, n | = 1505; Canada AAA, n = 1363) over a 3-year period

摘要： stepwise multivariate Cox regression analysis identified | and develop a Nomogram risk prediction model | Univariate Cox regression* analysis assessed the impact of* | constructed a Nomogram model. The model's performance was | %) developed VTE. Cox regression* analysis identified that*

摘要： application of various regression models, including stepwise | regression (SWR), automated partial least squares | regression (AutoPLSR), random forest regression (RFR), and | support vector machine regression* (SVR). The metrics for* | evaluating the accuracy of different input-model

摘要： model as predictor variables to perform a stepwise | regression model. The model explained 24.8% of the | multiple linear regression* analysis was used to identify* | regression analysis. Four variables of age, BMI, Fitbit | The aim of this study was to evaluate the