Big Data in Stroke: How to Use Big Data to Make the Next Management Decision.

ABSTRACT: The last decade has seen significant advances in the accumulation of medical data, the computational techniques to analyze that data, and corresponding improvements in management. Interventions such as thrombolytics and mechanical thrombectomy improve patient outcomes after stroke in selected patients; however, significant gaps remain in our ability to select patients, predict complications, and understand outcomes. Big data and the computational methods needed to analyze it can address these gaps. For example, automated analysis of neuroimaging to estimate the volume of brain tissue that is ischemic and salvageable can help triage patients for acute interventions. Data-intensive computational techniques can perform complex risk calculations that are too cumbersome to be completed by human

SUBMITTER: Liu Y 

PROVIDER: S-EPMC10275829 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature