April 4, 2019Open Access

Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics

LALasith AdhikariCambridge Hospital TOTezcan Ozrazgat‐BaslantiVascular Medicine MRMatthew M. RuppertUniversity of Central Florida

Structured PICO

Does a machine learning approach incorporating intraoperative data improve postoperative AKI prediction?

Population

Patients undergoing surgery (implied by postoperative and intraoperative data context)

Intervention

Machine learning approach (IDEA: Intraoperative Data Embedded Analytics) dynamically incorporating intraoperative data

Outcome

Postoperative acute kidney injury (AKI) prediction

A machine learning approach dynamically incorporating intraoperative data improves the prediction of postoperative acute kidney injury.

Abstract

Postoperative AKI prediction was improved with high sensitivity and specificity through a machine learning approach that dynamically incorporated intraoperative data.

Perguntar à IA

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