AIMC Topic: Respiratory Distress Syndrome

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ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units.

IEEE journal of biomedical and health informatics Oct 1, 2023
Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). Diseases often have complex manifestations with heterogeneous subpopulations, or subtypes, that exhibit distinct clinical characteristics. Risk models...
Intensive Care Units Deep Learning Sepsis Respiratory Distress Syndrome Humans Neural Networks, Computer
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Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.

American journal of respiratory and critical care medicine Oct 1, 2020
Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analys...
Humans Biomarkers, Tumor Latent Class Analysis Inflammation Age Factors Machine Learning Phenotype Interleukin-6 Prognosis Mortality Bicarbonates Leukocyte Count Receptors, Tumor Necrosis Factor, Type I Pulmonary Ventilation Vital Signs Serum Albumin Partial Pressure Protein C Intercellular Adhesion Molecule-1 Creatinine Vasoconstrictor Agents Carbon Dioxide Plasminogen Activator Inhibitor 1 Platelet Count Bilirubin Respiratory Distress Syndrome Randomized Controlled Trials as Topic Blood Pressure Tidal Volume Area Under Curve Interleukin-8 Oxygen
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[Severe influenza A (H1N1) in late pregnancy: a case report].

Zhonghua wei zhong bing ji jiu yi xue Dec 1, 2019
Pregnancy has increased susceptibility to H1N1 influenza virus infection. Maternal influenza infection is associated with increased risk of morbidity and mortality. A case of influenza A (H1N1) during late pregnancy (pregnancy 1, birth 0, pregnancy 3...
Influenza A Virus, H1N1 Subtype Pregnancy Complications Respiratory Distress Syndrome Humans Positive-Pressure Respiration Pregnancy Female Tidal Volume Influenza, Human
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[Research on algorithms for identifying the severity of acute respiratory distress syndrome patients based on noninvasive parameters].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2019
Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index....
Respiratory Distress Syndrome Area Under Curve Blood Gas Analysis Sensitivity and Specificity ROC Curve Monitoring, Physiologic Humans Machine Learning Algorithms
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Respiratory Distress Syndrome Predictive Value of Tests Smoking Respiratory Function Tests Risk Assessment Severity of Illness Index Deep Learning Logistic Models Pulmonary Disease, Chronic Obstructive Male Middle Aged Humans Tomography, X-Ray Computed Databases, Factual Female Prognosis Aged Survival Rate
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Natural Language Processing to Assess Documentation of Features of Critical Illness in Discharge Documents of Acute Respiratory Distress Syndrome Survivors.

Annals of the American Thoracic Society Sep 1, 2016
RATIONALE: Transitions to outpatient care are crucial after critical illness, but the documentation practices in discharge documents after critical illness are unknown.
Aged Male Middle Aged Humans Respiration, Artificial Transitional Care Critical Illness Length of Stay Intensive Care Units Documentation United States Regression Analysis Female Respiratory Distress Syndrome Medical Informatics Natural Language Processing Patient Discharge Multivariate Analysis Survivors
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[Improvement effect of early goal-directed therapy on the prognosis in patients with septic shock].

Zhonghua wei zhong bing ji jiu yi xue Nov 1, 2015
OBJECTIVE: To evaluate the effect of the early goal-directed therapy (EGDT) on mortality in patients with septic shock, and to analyze the risk factors of mortality.
Fluid Therapy Arterial Pressure Lactic Acid Blood Gas Analysis Humans Central Venous Pressure Prognosis Risk Factors Oximetry Retrospective Studies Shock, Septic Resuscitation Acute Kidney Injury Respiratory Distress Syndrome Intensive Care Units
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[Effect of prone position ventilation on respiratory mechanics and prognosis in patients with acute respiratory distress syndrome concurrent with interstitial lung disease].

Zhonghua wei zhong bing ji jiu yi xue Oct 1, 2015
OBJECTIVE: To explore the effect of prone position ventilation (PPV) on respiratory mechanics and prognosis in patients with acute respiratory distress syndrome (ARDS) concurrent with interstitial lung disease (ILD).
Prognosis Respiratory Distress Syndrome Positive-Pressure Respiration Lung Diseases, Interstitial Humans Blood Gas Analysis Respiratory Mechanics Prone Position
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