Exploring the Future of AI & Machine Learning with Sura
Early heart disease detection can save lives. I am Sura Abdull Lattif Al-Shammari, a PhD student in AI & Software Engineering at the University of Science Malaysia.
My research focuses on enhancing heart disease prediction using advanced machine learning techniques to improve accuracy and early intervention. Through innovative AI models, I aim to make medical diagnostics more reliable and accessible.
OUR EXPERTISE
What are my skills?
Testimonials
What Our Teachers Say
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Research
Sara is a dedicated researcher with a sharp analytical mind. Her contributions to AI ethics are truly outstanding.
Prof. Leroy Lawson
Ceo, L&L
High Accuracy Results
Achieved up to 96.08% accuracy, making predictions more reliable than traditional methods.
Smarter Disease Prediction
Using AI models like SVM, CNN, and ANN to improve early detection of heart disease.
Improving Healthcare
Helping doctors and researchers detect heart disease earlier, reducing risks, and improving lives.
What we do
Latest Research & Insights
01.
Improved Early Prediction of Heart Disease Using Hybrid Feature Extraction and Hyperparameter Optimization Based on ANN
explores the use of hybrid machine learning and deep learning models to enhance the accuracy of heart disease prediction. Heart disease, also known as cardiovascular disease (CVD), is a leading cause of death worldwide, and early detection is crucial for effective treatment and prevention.
02.
Voiceprint Recognition Using Deep Learning and Python
Building a Secure and Efficient Biometric System
03.
Reinforcement Learning Models
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