Please use this identifier to cite or link to this item: http://repo.tma.uz/xmlui/handle/1/3805
Title: THE ROLE OF P-SELECTIN IN THE FORMATION AND DEVELOPMENT OF CHRONIC KIDNEY DISEASE AND THE CREATION OF PREDICTIVE MATHEMATICAL MODELS
Authors: ABBASOV.A.K., QOBILJONOV.J.Q.
Keywords: Random Forest Regression, mathematical models, chronic kidney disease.
Issue Date: Nov-2025
Publisher: O'zbekiston, Toshkent "O'zbekiston harbiy tibbiyoti jurnali" 4-SON
Abstract: Random forests are somewhat interpretable, as they return feature values that can be used to compare the most useful variables for making predictions. Random forests are generally very accurate and perform well on nonlinear problems with many features, as they perform implicit feature selection.
URI: http://repo.tma.uz/xmlui/handle/1/3805
Appears in Collections:

Files in This Item:
File Description SizeFormat 
3. THE ROLE OF P-SELECTIN IN THE FORMATION AND DEVELOPMENT. Abbasov.pdf1.36 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.