Michael Roimi
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View article: The association between defecation frequency and mortality in critically ill patients with suspected sepsis in Israel
The association between defecation frequency and mortality in critically ill patients with suspected sepsis in Israel Open
Background: The pivotal role of the gastrointestinal (GI) tract in sepsis is well recognized. This study aimed to evaluate the associations between defecation frequency as a basic assessment of GI function and the clinical outcomes of inte…
View article: Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection Open
Antimicrobial resistance is a rising global health threat, leading to ineffective treatments, increased mortality and rising healthcare costs. In ICUs, inappropriate empiric antibiotic therapy is often given due to treatment urgency, causi…
View article: The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study
The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study Open
Background The exponential growth in computing power and the increasing digitization of information have substantially advanced the machine learning (ML) research field. However, ML algorithms are often considered “black boxes,” and this f…
View article: Clinical impact of fungal colonization of burn wounds in patients hospitalized in the intensive care unit: a retrospective cohort study
Clinical impact of fungal colonization of burn wounds in patients hospitalized in the intensive care unit: a retrospective cohort study Open
Background Invasive fungal infections in burn victims significantly increase mortality and hospitalization. The effect of fungal burn wound colonization has not been established. Methods All adult patients hospitalized in the intensive car…
View article: Detection of gastroesophageal reflux by multichannel intraluminal impedance technology during mechanical ventilation: the first case series
Detection of gastroesophageal reflux by multichannel intraluminal impedance technology during mechanical ventilation: the first case series Open
Summary: Background & Aims: Gastroesophageal reflux (GER) is a common event among mechanically ventilated and tube-fed critically ill patients and it is associated with an increased risk of ventilator-associated pneumonia. Most of the avai…
View article: Increasing Intensivists’ Trust in a machine learning-Based Bacteremia Diagnosis System Through User-Interface Design: The Impact of Information Relevancy and Interactivity (Preprint)
Increasing Intensivists’ Trust in a machine learning-Based Bacteremia Diagnosis System Through User-Interface Design: The Impact of Information Relevancy and Interactivity (Preprint) Open
BACKGROUND The exponential growth in computing power and increasing digitization of information have advanced the machine learning (ML) research field substantially. However, ML algorithms are often considered “black boxes”, and this fost…
View article: Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study Open
Objective The spread of coronavirus disease 2019 (COVID-19) has led to severe strain on hospital capacity in many countries. We aim to develop a model helping planners assess expected COVID-19 hospital resource utilization based on individ…
View article: Development and validation of a machine learning model for predicting illness trajectory and hospital resource utilization of COVID-19 hospitalized patients – a nationwide study
Development and validation of a machine learning model for predicting illness trajectory and hospital resource utilization of COVID-19 hospitalized patients – a nationwide study Open
Background The spread of COVID-19 has led to a severe strain on hospital capacity in many countries. There is a need for a model to help planners assess expected COVID-19 hospital resource utilization. Methods Retrospective nationwide coho…