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4 hasil untuk "Pierre Singer"

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  1. Artikel Jurnal Teks lengkap

    Improved ICU mortality prediction based on SOFA scores and gastrointestinal parameters

    Yehudit Aperstein; Lidor Cohen; Itai Bendavid dkk.

    PLOS ONE, Vol. 14 No. 9 · 2019 · Inggris · PLOS Scopus

    Background: The Sequential Organ Failure Assessment (SOFA) score is commonly used in ICUs around the world, designed to assess the severity of the patient's clinical state based on function/dysfunction of six major organ systems. The goal of this work is to build a computational model to predict…

  2. Artikel Jurnal Teks lengkap

    Predicting invasive mechanical ventilation in COVID 19 patients: A validation study

    Liran Statlender; Leonid Shvartser; Shmuel Teppler dkk.

    PLOS ONE, Vol. 19 No. 1 · 2024 · Inggris · PLOS Scopus

    Introduction: The decision to intubate and ventilate a patient is mainly clinical. Both delaying intubation (when needed) and unnecessarily invasively ventilating (when it can be avoided) are harmful. We recently developed an algorithm predicting respiratory failure and invasive mechanical…

  3. Artikel Jurnal Teks lengkap

    A machine-learning model for prediction of Acinetobacter baumannii hospital acquired infection

    Ido Neuman; Leonid Shvartser; Shmuel Teppler dkk.

    PLOS ONE, Vol. 19 No. 12 · 2024 · Inggris · PLOS Scopus

    Background: Acinetobacter baumanni infection is a leading cause of morbidity and mortality in the Intensive Care Unit (ICU). Early recognition of patients at risk for infection allows early proper treatment and is associated with improved outcomes. This study aimed to construct an innovative…

  4. Artikel Jurnal Teks lengkap

    The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition

    Michael Hiesmayr; Sophie Frantal; Karin Schindler dkk.

    PLOS ONE, Vol. 10 No. 5 · 2015 · Inggris · PLOS Scopus

    Objective: To develop a simple scoring system to predict 30 day in-hospital mortality of in-patients excluding those from intensive care units based on easily obtainable demographic, disease and nutrition related patient data. Methods: Score development with general estimation equation methodology…