AIMC Topic: Sepsis

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Machine learning interpretability methods to characterize the importance of hematologic biomarkers in prognosticating patients with suspected infection.

Computers in biology and medicine Oct 12, 2024
OBJECTIVE: To evaluate the effectiveness of Monocyte Distribution Width (MDW) in predicting sepsis outcomes in emergency department (ED) patients compared to other hematologic parameters and vital signs, and to determine whether routine parameters co...
Aged Adult Male Middle Aged Sepsis Biomarkers Humans Machine Learning Prognosis Retrospective Studies Female
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Development and validation of a sepsis risk index supporting early identification of ICU-acquired sepsis: an observational study.

Anaesthesia, critical care & pain medicine Oct 2, 2024
BACKGROUND: Sepsis is a threat to global health, and domestically is the major cause of in-hospital mortality. Due to increases in inpatient morbidity and mortality resulting from sepsis, healthcare providers (HCPs) would accrue significant benefits ...
Adult Sensitivity and Specificity Male Middle Aged Risk Assessment Shock, Septic Humans Intensive Care Units Sepsis Critical Care Machine Learning Female Hospital Mortality Early Diagnosis Aged ROC Curve Cross Infection
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Transfer learning-enabled outcome prediction for guiding CRRT treatment of the pediatric patients with sepsis.

BMC medical informatics and decision making Sep 27, 2024
Continuous renal replacement therapy (CRRT) is a life-saving procedure for sepsis but the benefit of CRRT varies and prediction of clinical outcomes is valuable in efficient treatment planning. This study aimed to use machine learning (ML) models tra...
Male Infant Sepsis Adolescent Child, Preschool Child Humans Machine Learning Continuous Renal Replacement Therapy Female
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Machine learning reveals the rules governing the efficacy of mesenchymal stromal cells in septic preclinical models.

Stem cell research & therapy Sep 11, 2024
BACKGROUND: Mesenchymal Stromal Cells (MSCs) are the preferred candidates for therapeutics as they possess multi-directional differentiation potential, exhibit potent immunomodulatory activity, are anti-inflammatory, and can function like antimicrobi...
Humans Mesenchymal Stem Cells Machine Learning Mesenchymal Stem Cell Transplantation Animals Sepsis
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Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3.

BMC medical informatics and decision making Sep 9, 2024
BACKGROUND: Sepsis poses a critical threat to hospitalized patients, particularly those in the Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival rates. Machine learning techniques offer advantages over tradit...
Sepsis Nomograms Biomarkers Prognosis Intensive Care Units Humans Female Machine Learning Aged Male Middle Aged
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Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database.

Journal of intensive care medicine Sep 5, 2024
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated Acute Respiratory Distress Syndrome (ARDS).MethodsThis retrospective cohort study included 2466 patients diagnosed with sepsis and ARDS within 24 h of ...
Bayes Theorem Logistic Models Respiratory Distress Syndrome Predictive Value of Tests Female Aged Male Middle Aged Sepsis Hospital Mortality ROC Curve Machine Learning Databases, Factual Retrospective Studies Intensive Care Units Humans
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Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation.

Journal of medical Internet research Sep 4, 2024
BACKGROUND: Sepsis is a heterogeneous syndrome, and enrollment of more homogeneous patients is essential to improve the efficiency of clinical trials. Artificial intelligence (AI) has facilitated the identification of homogeneous subgroups, but how t...
Humans Artificial Intelligence Algorithms Male Middle Aged Sepsis Patient Selection Retrospective Studies Female Aged Clinical Trials as Topic
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Prediction of sepsis mortality in ICU patients using machine learning methods.

BMC medical informatics and decision making Aug 16, 2024
PROBLEM: Sepsis, a life-threatening condition, accounts for the deaths of millions of people worldwide. Accurate prediction of sepsis outcomes is crucial for effective treatment and management. Previous studies have utilized machine learning for prog...
Male Humans Middle Aged Intensive Care Units Machine Learning Sepsis Female Prognosis Aged Adult
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Distinguishing neonatal culture-negative sepsis from rule-out sepsis with artificial intelligence-derived graphs.

Pediatric research Aug 15, 2024
Novel artificial intelligence methods can aide in identification of cases of conditions using only unstructured electronic health record data. This graph-based method compares comprehensive electronic health records among neonates using temporal data...
Neonatal Sepsis Infant, Newborn Sepsis Blood Culture Humans Artificial Intelligence Electronic Health Records Female
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Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study.

Internal and emergency medicine Aug 14, 2024
Sepsis triggers a harmful immune response due to infection, causing high mortality. Predicting sepsis outcomes early is vital. Despite machine learning's (ML) use in medical research, local validation within the Medical Information Mart for Intensive...
Hospital Mortality ROC Curve Logistic Models Humans Male Female Middle Aged Machine Learning Aged China Prognosis Adult Sepsis
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