Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission.

Background Timely diagnosis is crucial for sepsis treatment. Current machine learning (ML) models suffer from high complexity and limited applicability. We therefore created an ML model using only complete blood count (CBC) diagnostics. Methods We collected non-intensive care unit (non-ICU) data fro...

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Publicado en:	Clinical Chemistry Vol. 70; no. 3; pp. 506 - 516
Autores principales:	Steinbach, Daniel, Ahrens, Paul C, Schmidt, Maria, Federbusch, Martin, Heuft, Lara, Lübbert, Christoph, Nauck, Matthias, Gründling, Matthias, Isermann, Berend, Gibb, Sebastian, Kaiser, Thorsten
Formato:	Journal Article
Publicado:	Oxford University Press / USA Mar2024
Acceso en línea:	Ver este registro en EBSCOhost