Research pillar · Health data science
Predictive Analytics
Healthcare analytics that turn complex health information into clearer insight for risk assessment and care planning.
Making health information useful
Healthcare teams work with information from many sources. Our predictive analytics work connects data science and machine learning with the practical questions of prevention, risk, and care planning.
Cardiovascular intelligence
Cardiovascular prediction is a central focus. We examine patterns in health information to support earlier risk identification and informed clinical review.
Our analytics approach
The clinical question guides the choice of inputs, outcome, and prediction horizon. Data preparation, model development, and evaluation are considered together throughout the workflow.
Fit with healthcare workflows
Useful analytics must be understandable and available at the right point in a workflow. Our focus includes interpretation, presentation, patient engagement, and EMR-connected information.
Institutional collaboration
We welcome health systems, clinical investigators, and data science teams. Contact us to discuss the question your organization wants to address and the information available to support it.