Area of research
Artificial Intelligence · Health Information Management
Research interest
Research interests include Artificial Intelligence in Healthcare, Machine Learning in Healthcare, Voice and Speech Disorders, and Imbalanced Data Classification Techniques.
Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network
Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions
Delay‐Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness
WhatsApp Network Forensics: Discovering the IP Addresses of Suspects
Characterizing the architectures and brokering protocols for enabling clouds interconnection
Analyzing Various Functions of Prefrontal Cortex (PFC) in Decision Making via Brain Imaging Techniques