Predictive Analytics · What we’re working on
Cardiovascular and Heart Attack Prediction
Machine learning and health data analysis for heart attack prediction and cardiovascular risk assessment.
Earlier insight into cardiovascular risk
Our cardiovascular work focuses on identifying patterns in health information that support earlier risk assessment and clinical review. It is part of our wider predictive health programme.
98% heart attack prediction accuracy
Our heart attack prediction work achieves 98% accuracy. We connect this work with the broader questions of cardiovascular risk, preventive care planning, and clinical interpretation.
Connecting the relevant information
Health history, clinical measurements, and other relevant inputs help frame the prediction task. Our work considers how that information is prepared, represented, and interpreted.
Performance in context
Evaluation considers the prediction horizon, outcome definition, sensitivity, specificity, calibration, and population. These details support a useful technical discussion about model performance and intended use.
Discuss a collaboration
We welcome cardiovascular specialists, healthcare organizations, and research teams. Contact us to discuss the analytical question, evaluation approach, and fit with your workflow.