التفاصيل البيبلوغرافية
| العنوان: |
open access www.bioinformation.net Hypothesis Volume 6(6) An ANN |
| المؤلفون: |
Sajid Iqbal, Khalid Masood, Osman Jafer |
| المساهمون: |
The Pennsylvania State University CiteSeerX Archives |
| المصدر: |
ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/e0/bb/Bioinformation_2011_Jun_6_6(6)_237-239.tar.gz |
| سنة النشر: |
2011 |
| المجموعة: |
CiteSeerX |
| مصطلحات موضوعية: |
ANN (Artificial neural networks, Hepatitis, Prediction, Treatment Background |
| الوصف: |
Two types of antiviral treatments, namely, interferon and nucleoside/nucleotide analogues are available for hepatitis infections. The selection of drug and dose determined using known pharmacokinetics and pharmacodynamics data is important. The lack of sufficient information for pharmacokinetics of a drug may not produce the desired results. Artificial neural network (ANN) provides a novel model-independent approach to pharmacokinetics and pharmacodynamics data. ANN model is created by supervised learning of 90 patients sample to predict the treatment strategy (lamivudine only and Lamivudine + Interferon) on the basis of viral load, liver function test, visit number, treatment duration, ethnic area, sex, and age. The model was trained with 68 (77.3%) samples and tested with 20 (22.7%) samples. The model produced 92 % accuracy with 92.8 % sensitivity and 83.3 % specificity. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/zip |
| اللغة: |
English |
| Relation: |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.291.4746 |
| الاتاحة: |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.291.4746 |
| Rights: |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: |
edsbas.B487980E |
| قاعدة البيانات: |
BASE |