Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media

Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media

This study constructs a machine learning method to simultaneously analyze the thermodynamic behavior of many polymer–drug systems. The solubility temperature of Acetaminophen, Celecoxib, Chloramphenicol, D-Mannitol, Felodipine, Ibuprofen, Ibuprofen Sodium, Indomethacin, Itraconazole, Naproxen, Nifed...

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Bibliographic Details
Main Authors: Sait Senceroglu, Mohamed Arselene Ayari, Tahereh Rezaei, Fardad Faress, Amith Khandakar, Muhammad E. H. Chowdhury, Zanko Hassan Jawhar
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Pharmaceuticals
Subjects:
solubility temperature
drug
polymer
support vector regression
kernel type
tuning techniques
Online Access:https://www.mdpi.com/1424-8247/15/11/1405

Internet

https://www.mdpi.com/1424-8247/15/11/1405

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