Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniques.
Introduction: Early diagnosis and antibiotic administration are essential for reducing sepsis morbidity and mortality; however, diagnosis remains difficult due to complex pathogenesis and presentation. We created a machine learning model for bacterial sepsis identification in the neonatal intensive...
| Publicado en: | International Journal of Laboratory Hematology Vol. 43; no. 6; pp. 1341 - 1357 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |