Finding Patients Using Structured and Unstructured Data

Electronic health record data is messy, sparse, and heterogeneous. Finding patients with specific diagnoses is helpful for identifying patient cohorts, deploying algorithmic tools to quantify risk, and directing resources to patients who most need them. We use a combination of natural language processing, machine learning, and signal processing tools on knowledge graphs to identify patients with specific diagnoses.