Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering

In 30 Sekunden

Was passiert ist

Researchers developed nMAS, a multi-agent system that automates feature engineering from heart-failure electronic health records with evidence traceability and clinical guideline grounding.

Warum es zählt

Clinical data scientists and ML engineers building predictive models for heart-failure phenotyping need reproducible, auditable feature pipelines that integrate fragmented EHR data.

Achtung

Evaluation used only 500 dummy records from a single institution. External validation on real patient data across multiple health systems is needed before production deployment.