Early Prediction of Congestive Heart Failure (CHF) and Pathway Visualization
We have developed predictive models and analytics that by analyzing patient’s longitudinal medical records can provide early detection of Heart Failure. We also provide visual analytics to visualize the disease progression pathways of similar patient cohort.
- Robust and scalable predictive modeling pipeline
- Feature extraction and selection from both structured and unstructured data in longitudinal records
- Advanced visualization tool for patient cohort disease progression
By quantifying risk and time frame, therapeutic guidance and patient engagement methods can be used to alter the natural history of the disease and reduce individual and societal burden of disease.