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Early Prediction of Sepsis From Clinical Data

Early Prediction of Sepsis From Clinical Data

Diverse computational approaches predict the onset of sepsis several hours before clinical recognition, but generalizability to different hospital systems remains a challenge.

A total of 104 groups from academia and industry participated, contributing 853 submissions.

Furthermore, 90 abstracts based on Challenge entries were accepted for presentation at Computing in Cardiology.

Over 60,000 ICU patients with up to 40 clinical variables were sourced for each hour of a patient’s ICU stay.

Sepsis-3 clinical criteria for sepsis onset applied.

ICUs in three separate hospital systems.

Data shared from two systems publicly and sequestered data from all three systems for scoring.

January 9, 2020

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