Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents

Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents

Abstract This study investigates the utilization of three regression models, i.e., Kernel Ridge Regression (KRR), nu-Support Vector Regression ( $$\:{\upnu\:}$$ -SVR), and Polynomial Regression (PR) for the purpose of forecasting the concentration (C) of a drug within a specified environment, relyin...

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Bibliographic Details
Main Authors: S. Tasqeeruddin, Shaheen Sultana, Abdulrhman Alsayari
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Drug separation
Mass transfer
Modeling
Separation
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-93596-z
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https://doi.org/10.1038/s41598-025-93596-z

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