Medical Biometric Dataset

The medical biometric dataset comprises 10,000 records collected across 23 patients spanning different demographics, biometric profiles, and temporal variations between 2022 and 2023. It is accumulated from various hospitals, digital health records, and biometric-enabled healthcare security systems. The dataset includes real-world biometric authentication and clinical profiling scenarios while ensuring compliance with standard medical and biometric data regulations. The dataset aligns with the best practices for secure biometric authentication in electronic health records (EHRs), patient identity verification in telemedicine, and forensic biometric applications. The structured representation of multi-modal biometrics ensures that this dataset is viable for clinical validation. The attributes encompass core biometric identifiers, medical conditions influencing biometric readings, and authentication success rates, making it a comprehensive dataset for AI-driven biometric modeling in healthcare applications. The dataset is structured to enable both supervised and unsupervised learning investigations, catering to model training, fairness evaluations, and security-focused research.