بدائل البحث:
maximization algorithm » optimization algorithms (توسيع البحث), classification algorithm (توسيع البحث)
risk optimization » task optimization (توسيع البحث), dose optimization (توسيع البحث), cost optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data access » data across (توسيع البحث), water access (توسيع البحث)
data risk » data raise (توسيع البحث), aaa risk (توسيع البحث)
maximization algorithm » optimization algorithms (توسيع البحث), classification algorithm (توسيع البحث)
risk optimization » task optimization (توسيع البحث), dose optimization (توسيع البحث), cost optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data access » data across (توسيع البحث), water access (توسيع البحث)
data risk » data raise (توسيع البحث), aaa risk (توسيع البحث)
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
منشور في 2021"…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …"
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Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png
منشور في 2025"…</p>Results and Discussion<p>Experimental evaluation across varied athlete cohorts demonstrates superior performance in risk stratification accuracy, diagnostic plausibility, and model transparency compared to traditional screening algorithms. …"
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Data_Sheet_1_A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms.docx
منشور في 2022"…We performed threshold optimization for converting predicted probabilities into binary predictions and identified the cut-off maximizing the sum of sensitivity and specificity.…"
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Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
منشور في 2022"…Building on existing work, we (i) derive and implement efficient cyclic coordinate descent and majorization-minimization optimization algorithms for continuous and binary outcome data, (ii) incorporate adaptive shrinkage penalties, (iii) compare these methods through simulation, and (iv) develop an R package <i>miselect</i>. …"