Background Acute respiratory distress syndrome (ARDS) is a condition that is often
considered to have broad and subjective diagnostic criteria and is associated with …

Acute respiratory distress syndrome (ARDS) is a rapidly progressive form of acute
inflammatory lung injury associated with non-hydrostatic pulmonary edema and severe …

Amid the landscape of respiratory health, lung disorders stand out as the primary
contributors to pulmonary intricacies and respiratory diseases. Timely precautions through …

Goal: Machine learning (ML) technologies that leverage large-scale patient data are
promising tools predicting disease evolution in individual patients. However, the limited …

Background To develop and validate classifier models that could be used to identify patients
with a high percentage of potentially recruitable lung from readily available clinical data and …

Purpose Some predictive systems using machine learning models have been developed to
predict sepsis; however, they were mostly built with a low percent of missing values, which …

The aim of this study was to develop early prediction models for respiratory failure risk in
patients with severe pneumonia using four ensemble learning algorithms: LightGBM …

Respiration-related disease refers to a wide range of conditions, including influenza,
pneumonia, asthma, sudden infant death syndrome (SIDS) and the latest outbreak …

Abstract Machine learning (ML) and Artificial Intelligence (AI) approaches are increasingly
applied to predicting the development of sepsis and multiple organ failure. While there has …

This paper presents a new medical severity scoring system, used to assess the risk of
hemodynamic and pulmonary decompensation for patients being treated in intensive care …