AIMC Topic: Respiratory Distress Syndrome

Clear Filters Showing 51 to 60 of 68 articles

Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome.

IEEE journal of biomedical and health informatics Feb 28, 2018
When training a machine learning algorithm for a supervised-learning task in some clinical applications, uncertainty in the correct labels of some patients may adversely affect the performance of the algorithm. For example, even clinical experts may ...
Humans Support Vector Machine Machine Learning Diagnosis, Computer-Assisted Respiratory Distress Syndrome
View on PubMed DOI

Regional physiology of ARDS.

Critical care (London, England) Dec 28, 2017
The acute respiratory distress (ARDS) lung is usually characterized by a high degree of inhomogeneity. Indeed, the same lung may show a wide spectrum of aeration alterations, ranging from completely gasless regions, up to hyperinflated areas. This in...
Respiration, Artificial Lung Respiratory Distress Syndrome Humans Respiratory Mechanics Tidal Volume Ventilators, Mechanical Pressure
View on PubMed DOI

Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.

Translational research : the journal of laboratory and clinical medicine Jul 1, 2025
Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure and mortality rates of ∼40%, remains a significant challenge in critical care medicine. Despite advances in supportive care, accurate prediction of AR...
Biomarkers Prognosis Female Humans Cytokines Middle Aged Aged Respiratory Distress Syndrome Animals Metabolomics Male Models, Biological
View on PubMed DOI

Development and External Validation of a Detection Model to Retrospectively Identify Patients With Acute Respiratory Distress Syndrome.

Critical care medicine Jun 1, 2025
OBJECTIVE: The aim of this study was to develop and externally validate a machine-learning model that retrospectively identifies patients with acute respiratory distress syndrome (acute respiratory distress syndrome [ARDS]) using electronic health re...
Machine Learning Retrospective Studies Electronic Health Records Humans Male Middle Aged Respiration, Artificial Respiratory Distress Syndrome Female Aged Sensitivity and Specificity
View on PubMed DOI

Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory.

Nature communications May 13, 2025
Corticosteroids decrease the duration of organ dysfunction in sepsis and a range of overlapping and complementary infectious critical illnesses, including septic shock, pneumonia and the acute respiratory distress syndrome (ARDS). The risk and benefi...
Middle Aged Sepsis Adrenal Cortex Hormones Shock, Septic Multiple Organ Failure Organ Dysfunction Scores Respiratory Distress Syndrome Pneumonia Female Aged Male Humans Machine Learning Retrospective Studies
View on PubMed DOI

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis.

Journal of medical Internet research May 13, 2025
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a critical condition commonly encountered in the intensive care unit (ICU), characterized by a high incidence and substantial mortality rate. Early detection and accurate prediction of ARDS ca...
ROC Curve Respiratory Distress Syndrome Humans Machine Learning
View on PubMed DOI

Screening of mitochondrial-related biomarkers connected with immune infiltration for acute respiratory distress syndrome through WGCNA and machine learning.

Medicine Mar 7, 2025
Septic acute respiratory distress syndrome (ARDS) is a complex and noteworthy type, but its molecular mechanism has not been fully elucidated. The aim is to explore specific biomarkers to diagnose sepsis-induced ARDS. Gene expression data of sepsis a...
Gene Regulatory Networks Nomograms Neutrophils Respiratory Distress Syndrome Mitochondria Biomarkers Humans Gene Expression Profiling Machine Learning Sepsis
View on PubMed DOI

Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
Adenocarcinoma of Lung Risk Assessment Humans Gene Expression Profiling Risk Factors Machine Learning DNA Copy Number Variations Algorithms Lung Neoplasms Gene Expression Regulation, Neoplastic Biomarkers, Tumor Prognosis Mutation Respiratory Distress Syndrome Male Female
View on PubMed DOI

[Analysis of clinical treatment of acute respiratory distress syndrome assisted by artificial intelligence].

Zhonghua wei zhong bing ji jiu yi xue Apr 1, 2024
OBJECTIVE: To evaluate the clinical practice of intensive care unit (ICU) physicians at Hebei General Hospital in identifying patients meeting the diagnostic criteria for acute respiratory distress syndrome (ARDS) and the current status of invasive m...
Female Male Middle Aged Respiration, Artificial Respiratory Distress Syndrome Artificial Intelligence Retrospective Studies Intensive Care Units Humans
View on PubMed DOI

Efficacy of Pulse Methylprednisolone in Treatment of Acute Respiratory Distress Syndrome due to Malaria: A Randomized Controlled Clinical Trial.

The Journal of the Association of Physicians of India Nov 1, 2023
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associated acute respiratory distress syndrome (ARDS). : The study was a randomized, single-blind, placebo-controlled trial with a total sample size of 44 pati...
Glucocorticoids Malaria Adult Respiration, Artificial Treatment Outcome Humans Pulse Therapy, Drug Male Single-Blind Method Length of Stay Respiratory Distress Syndrome Female Middle Aged Methylprednisolone Young Adult
View on PubMed DOI
Popular Topics
Recent Journals