عنوان المقالة:الشبكة العصبية الاصطناعية والتحليل الدلالي الكامن لاكتشاف التفاعلات الضارة للأدوية Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection
احمد عادل نافع | Ahmed Adil Nafea | 3160
نوع النشر
مجلة علمية
المؤلفون بالعربي
المؤلفون بالإنجليزي
Ahmed Adil Nafea, Nazlia Omar, Zohaa Mubarak Al-qfail
الملخص الانجليزي
Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting ADR.
تاريخ النشر
20/05/2023
الناشر
Baghdad Science Journal
رقم المجلد
رقم العدد
ISSN/ISBN
2078-8665
رابط DOI
https://doi.org/10.21123/bsj.2023.7988
رابط الملف
تحميل (0 مرات التحميل)
الكلمات المفتاحية
Adverse Drug Reaction, Artificial Neural Network, Classification, Deep Learning, Latent Semantic Analysis
رجوع