Sökning: "Zohib Sekandari"

Hittade 1 uppsats innehållade orden Zohib Sekandari.

  1. 1. Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models

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

    Författare :Zohib Sekandari; Shahin Saleh; [2019]
    Nyckelord :Machine Learning; Triage; ESI; Classification; Maskininlärning; ESI; Klassificering;

    Sammanfattning : Study Objective: The emergency department (ED) in the United States strongly rely on subjective assessment of patients. This study seeks to evaluate an electronic triage system based on machine learning models that can predict the patients emergency severity index (ESI). Methods: A dataset containing 560 486 patients triage data was investigated. LÄS MER