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Done By: Department of Biomedical Engineering
Post Date: 2025-09-03
Last Browse: 2025-09-13
Master’s Thesis Defense of Bilal Yahya Ahmed The Department of Biomedical Engineering / College of Engineering / Al-Nahrain University held the master’s thesis defense of the student Bilal Yahya Ahmed on Wednesday, September 3, 2025, for his thesis entitled: “Unlocking New Potential of Artificial Intelligence for Early Detection of Parkinson’s Disease” The examining committee consisted of: Prof. Ali Hussein Ali – Chair Asst. Prof. Hadeel Qasim Wadi – Member Lect. Dr. Basma Abdul Sahib Fayhan – Member Thesis Supervision: Asst. Prof. Sadiq Jafar Abbas – College of Engineering / Al-Nahrain University Scientific Evaluation: Prof. Wajdi Sadiq Aboud – College of Engineering / Al-Nahrain University Asst. Prof. Noor Kamal Mohsen – College of Al-Khwarizmi Engineering / University of Baghdad Linguistic Evaluation: Lect. Dr. Mais Adi Abdul Rasool – College of Engineering / Al-Nahrain University Objectives of the Study: Methodology: Findings: Accuracy: 94.6% Sensitivity: 95.7% Classification precision: 97.7% Area Under the Curve (AUC): 0.978 with a 70–30 data split. Conclusion:
The thesis was approved as it fulfilled the requirements for the Master’s degree in Biomedical Engineering.
This research aims to assist physicians in the early diagnosis of Parkinson’s disease using artificial intelligence techniques, thereby improving the chances of early intervention and quality of healthcare.
The study systematically evaluated ten machine learning algorithms, testing the models under three different training–testing split scenarios, and applying cross-validation (CV) to ensure the accuracy and objectivity of the performance assessment.
The results showed that the CatBoost algorithm achieved outstanding performance with:
The study demonstrated the efficiency of artificial intelligence in early Parkinson’s detection, confirming its potential as a supportive tool for clinicians in real-world practice.