Sökning: "Nahir Danho"

Hittade 1 uppsats innehållade orden Nahir Danho.

  1. 1. Neonatal Sepsis Detection Using Decision Tree Ensemble Methods: Random Forest and XGBoost

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Marwan Al-Bardaji; Nahir Danho; [2022]
    Nyckelord :Machine Learning; Sepsis; Neonatal Sepsis; Random Forest; XGBoost; Imbalanced Data; Binary Classification; Cross-Validation; Hyperparameter Tuning;

    Sammanfattning : Neonatal sepsis is a potentially fatal medical conditiondue to an infection and is attributed to about 200 000annual deaths globally. With healthcare systems that are facingconstant challenges, there exists a potential for introducingmachine learning models as a diagnostic tool that can beautomatized within existing workflows and would not entail morework for healthcare personnel. LÄS MER