Clinical Risk Prediction Models

Clinical Risk Prediction Models

What are clinical risk prediction (CRP) models?

CRP models are tools clinicians use to predict what diseases people might get in the future. These tools use a person’s medical history and health factors to figure out how likely they are to get sick. 

How is the research done? 

This study wants to see if adding genetic information can make predicting disease risk better. The study uses BioVU resources to study medical history and genetic data. They will study how including genetic information may make prediction tools better. The team is also interested in knowing when each prediction is most helpful since it may take time for a patient to get enough information to make the model work well. This may help the team understand how to make prediction tools better. 

What is the importance of this study? 

CRP models are important because they help doctors predict which diseases a person might get in the future. This allows doctors to provide better care and prevent diseases from developing. The team hopes to improve CRP tools to help catch diseases early when they are easier to treat.