MACHINE LEARNING FOR EARLY MATERNAL RISK STRATIFICATION IN UZBEKISTAN: DEVELOPMENT OF A GRADIENT BOOSTING MODEL BASED ON DHS DATA
The obtained results suggest that the proposed approach may serve as a promising basis for subsequent adaptation to national clinical data of the Republic of Uzbekistan, external prospective validation and integration into digital clinical decision support systems.
Эсонов
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