بدائل البحث:
recording optimization » learning optimization (توسيع البحث), routing optimization (توسيع البحث), codon optimization (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
data recording » data according (توسيع البحث), data recorded (توسيع البحث), data encoding (توسيع البحث)
primary data » primary care (توسيع البحث)
recording optimization » learning optimization (توسيع البحث), routing optimization (توسيع البحث), codon optimization (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
data recording » data according (توسيع البحث), data recorded (توسيع البحث), data encoding (توسيع البحث)
primary data » primary care (توسيع البحث)
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Patient characteristics and covariate balance before and after propensity matching.
منشور في 2023الموضوعات: -
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Table_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf
منشور في 2022"…Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"
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Image_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf
منشور في 2022"…Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"
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Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX
منشور في 2021"…When optimizing culture media for primary cells used in cell and gene therapy, traditional DoE approaches that depend on interpretable models will not always provide reliable predictions due to high donor variability. …"
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Early Parkinson’s disease identification via hybrid feature selection from multi-feature subsets and optimized CatBoost with SMOTE
منشور في 2025"…The proposed framework leverages a strong categorical boosting (CatBoost) algorithm optimized using Grid Search Optimization (GSO). …"