بدائل البحث:
recordings optimization » learning optimization (توسيع البحث), routing optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data recordings » data recording (توسيع البحث), data according (توسيع البحث), clamp recordings (توسيع البحث)
primary data » primary care (توسيع البحث)
binary arm » binary pairs (توسيع البحث)
arm model » arma model (توسيع البحث), am model (توسيع البحث), arima model (توسيع البحث)
recordings optimization » learning optimization (توسيع البحث), routing optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data recordings » data recording (توسيع البحث), data according (توسيع البحث), clamp recordings (توسيع البحث)
primary data » primary care (توسيع البحث)
binary arm » binary pairs (توسيع البحث)
arm model » arma model (توسيع البحث), am model (توسيع البحث), arima model (توسيع البحث)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
Patient characteristics and covariate balance before and after propensity matching.
منشور في 2023الموضوعات: -
10
-
11
Analysis and design of algorithms for the manufacturing process of integrated circuits
منشور في 2023"…Additionally, the results obtained from our new ILP model indicate that our genetic algorithm results are very close to the optimal values.…"
-
12
-
13
-
14
-
15
-
16
-
17
-
18
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. …"
-
19
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. …"
-
20
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. …"