HELMET: A Hybrid Machine Learning Framework for Real-Time Prediction of Edema Trajectory in Large Middle Cerebral Artery Stroke.

Malignant cerebral edema occurs when brain swelling displaces and compresses vital midline structures within the first week of a large middle cerebral artery stroke. Early interventions such as hyperosmolar therapy or surgical decompression may reverse secondary injury but must be administered judiciously. To optimize treatment and reduce secondary damage, clinicians need strategies to frequently and quantitatively assess the trajectory of edema using updated, relevant information.

A Systematic Review of Electronic Community Resource Referral Systems.

Introduction: Community Resource Referral Systems delivered electronically through healthcare information technology systems (e.g., electronic medical records) have become more common in efforts to address patients' unmet health-related social needs.