Sepsis Prediction for the General Ward Setting.

Sean C Yu,Aditi Gupta,Kevin D Betthauser,Patrick G Lyons,Albert M Lai,Marin H Kollef,Philip R O Payne,Andrew P Michelson

Frontiers in Digital Health（2022）

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摘要

A machine learning model capable of predicting sepsis in the general ward setting was developed using the EHR data. The pseudo-prospective trial provided a more realistic estimation of implemented performance and demonstrated a 29.1% Positive Predictive Value (PPV) for sepsis-related intervention or outcome within 48 h.

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关键词

electronic health records,general ward,machine learning,prediction,sepsis

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