From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming
المؤلفون المشاركون
Polak, Sebastian
Jachowicz, Renata
Mendyk, Aleksander
Güres, Sinan
Szlęk, Jakub
Wiśniowska, Barbara
Kleinebudde, Peter
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-26
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The purpose of this work was to develop a mathematical model of the drug dissolution (Q) from the solid lipid extrudates based on the empirical approach.
Artificial neural networks (ANNs) and genetic programming (GP) tools were used.
Sensitivity analysis of ANNs provided reduction of the original input vector.
GP allowed creation of the mathematical equation in two major approaches: (1) direct modeling of Q versus extrudate diameter (d) and the time variable (t) and (2) indirect modeling through Weibull equation.
ANNs provided also information about minimum achievable generalization error and the way to enhance the original dataset used for adjustment of the equations’ parameters.
Two inputs were found important for the drug dissolution: d and t.
The extrudates length (L) was found not important.
Both GP modeling approaches allowed creation of relatively simple equations with their predictive performance comparable to the ANNs (root mean squared error (RMSE) from 2.19 to 2.33).
The direct mode of GP modeling of Q versus d and t resulted in the most robust model.
The idea of how to combine ANNs and GP in order to escape ANNs’ black-box drawback without losing their superior predictive performance was demonstrated.
Open Source software was used to deliver the state-of-the-art models and modeling strategies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mendyk, Aleksander& Güres, Sinan& Jachowicz, Renata& Szlęk, Jakub& Polak, Sebastian& Wiśniowska, Barbara…[et al.]. 2015. From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058022
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mendyk, Aleksander…[et al.]. From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1058022
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mendyk, Aleksander& Güres, Sinan& Jachowicz, Renata& Szlęk, Jakub& Polak, Sebastian& Wiśniowska, Barbara…[et al.]. From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058022
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1058022
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر