The Institute of Informatics for Graduate Studies at the University of Information and Communication Technology discussed the PhD thesis of student (Sara Mahmoud Abdullah) in the field of Computer Science, titled:
“Prediction and Recommendation Model for Heart Malfunction Based on Argumentation.”

This thesis proposes an advanced adaptive framework based on knowledge that integrates and combines the stages of data preparation, extraction of medical facts, and generation of rules with high precision, ultimately leading to the construction of a dynamic knowledge base capable of self-evolution. This innovative framework has been applied to “heart diseases” as a practical case study, demonstrating its high efficiency and ability to provide accurate predictive recommendations that serve the professional medical sector.

The scientific discussion was conducted by a committee of professors specialized in their fields, consisting of:
1. Prof. Dr. Bilal Ismail Khalil
2. Prof. Dr. Mahdi Nasif Jassim
3. Assoc. Prof. Dr. Omar Ziad Akef
4. Assoc. Prof. Dr. Ali Najdi Abdullah
5. Assoc. Prof. Dr. Shatha Mazhar Hassan
6. Prof. Dr. Abbas Mohsen Al-Bakri
7. Prof. Dr. Alaa Kadhem Farhan

After an extensive discussion and outstanding scientific defense by the student, the committee praised the efforts made and the practical value of the thesis, and the student was awarded a PhD degree with a grade of (Very Good) from the Institute of Informatics for Graduate Studies.