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An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques
Published 2024-12-01Subjects: Get full text
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384
Epidemiology of Ocular Trauma and Predictive Modeling of Visual Outcomes: A 12-Year Retrospective Study at a Tertiary Hospital in China
Published 2025-02-01Subjects: Get full text
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385
Machine learning as a tool for diagnostic and prognostic research in coronary artery disease
Published 2020-12-01Subjects: Get full text
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386
Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area
Published 2025-04-01Subjects: Get full text
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387
A predictive model to explore risk factors for Henoch–Schönlein purpura nephritis in children: a retrospective cross-sectional study
Published 2025-03-01Subjects: Get full text
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388
Predictive models for strength properties of sustainable mortars containing waste concrete powder: an empirical approach
Published 2025-08-01Subjects: Get full text
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389
Predictive athlete performance modeling with machine learning and biometric data integration
Published 2025-05-01Subjects: “…Predictive athlete performance modeling…”
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390
Personalization of Robot Behavior Using Approach Based on Model Predictive Control
Published 2024-12-01“…In the proposed framework, a user model is applied to predict responses to potential robot actions. …”
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391
Water Supply Network System Control Based on Model Predictive Control
Published 2010-07-01“…Keywords: Water supply system, Model predictive control, Constraints…”
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392
Model predictive control for energy efficient AC motor drives: An overview
Published 2024-12-01“…Abstract State‐of‐the‐art model‐based predictive control techniques for AC motor drives are reviewed in this paper. …”
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393
Machine learning-driven predictive modeling of mechanical properties in diverse steels
Published 2025-06-01“…This study highlights the feasibility of using small, realistic datasets to develop effective ML models for predicting mechanical properties in steel design. …”
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394
Predictive Modelling for Residential Construction Demands Using ElasticNet Regression
Published 2025-05-01“…This study seeks to investigate the significance of these external variables and produce a predictive model for residential construction demand using ElasticNet regression. …”
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395
Predictive model for assessing the prognosis of rhabdomyolysis patients in the intensive care unit
Published 2025-01-01“…For the development of the predictive model, 37 variables were carefully selected. …”
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396
An easily acquirable predictive model for strangulated bowel obstruction: the BAR-N
Published 2025-08-01Subjects: Get full text
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397
Multidimensional predictive model for assessing clinical activity in thyroid eye disease
Published 2025-07-01“…Variables with significant associations with CAS-defined activity were identified using univariate analysis, and Bayesian shrinkage regression (BSR) and the least absolute shrinkage and selection operator (LASSO) were utilized for variable selection in the primary cohort. Predictive models were constructed and evaluated using receiver operating characteristic (ROC) curves (internally validated via five-fold cross-validation), decision curve analysis (DCA), and calibration curves.ResultsFive predictive models were constructed. …”
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398
Predictive modeling of major polluters based on the German PRTR emissions data
Published 2025-07-01“…The findings indicate that both models generate predictions that are closely aligned with the actual pollution reports. …”
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399
Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO
Published 2017-01-01“…This paper introduces a new development for designing a Multi-Input Multi-Output (MIMO) Fuzzy Optimal Model Predictive Control (FOMPC) using the Adaptive Particle Swarm Optimization (APSO) algorithm. …”
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400
A Predictive Model for Disseminated Intravascular Coagulopathy in Sepsis: An Observational Study
Published 2024-10-01“…With a model score >− 2.12, the sensitivity for predicting DIC was 84.4%, and the specificity was 75.0%.Conclusion: Our study introduces a predictive model for DIC detection in sepsis patients, emphasizing the need for clinicians to focus on patients with high model scores for timely intervention.Keywords: sepsis, risk model, disseminated intravascular coagulopathy, platelet, mortality…”
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