most citedOn Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning

78 citations · 78 across the 1 of their papers we have counts for

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1 paper

q-bio.QM2019★ 78 cited

On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning

Zina Ibrahim, Honghan Wu, Ahmed Hamoud +3

Current machine learning models aiming to predict sepsis from Electronic Health Records (EHR) do not account for the heterogeneity of the condition, despite its emerging importance…