بدائل البحث:
according optimization » codon optimization (توسيع البحث), learning optimization (توسيع البحث), routing optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary arm » binary pairs (توسيع البحث)
arm design » a design (توسيع البحث), app design (توسيع البحث), array design (توسيع البحث)
according optimization » codon optimization (توسيع البحث), learning optimization (توسيع البحث), routing optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary arm » binary pairs (توسيع البحث)
arm design » a design (توسيع البحث), app design (توسيع البحث), array design (توسيع البحث)
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Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
منشور في 2021"…Propensity score matching is a popular method to infer causal relationships in observational studies with two treatment arms. Few studies, however, have used matching designs with more than two groups, due to the complexity of matching algorithms. …"
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Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.
منشور في 2021"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"
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Contextual Dynamic Pricing with Strategic Buyers
منشور في 2024"…This underscores the rate optimality of our policy. Importantly, our policy is not a mere amalgamation of existing dynamic pricing policies and strategic behavior handling algorithms. …"
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Flowchart of the entire pipeline.
منشور في 2024"…<p>First, the raw data is filtered and cleaned, and converted to a binary data format for faster reading (see Section Data retrieval and preprocessing). …"
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Table_1_Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke.DOCX
منشور في 2022"…</p>Methods<p>This diagnostic accuracy study used retrospective data from MIMIC-III and eICU databases. Decision trees were constructed by a hierarchical binary recursive partitioning algorithm to predict the BP-lowering of 10–30% off the maximal value when antihypertensive treatment was given in patients with an extremely high BP (above 220/110 or 180/105 mmHg for patients receiving thrombolysis), according to the American Heart Association/American Stroke Association (AHA/ASA), the European Society of Cardiology, and the European Society of Hypertension (ESC/ESH) guidelines. …"