AIMC Topic: Sepsis

Clear Filters Showing 191 to 200 of 349 articles

Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU.

BMC medical informatics and decision making Oct 2, 2020
BACKGROUND: Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) make optimal clinical decisions. This study aimed to develop machine learning-based tools to predi...
Critical Illness Intensive Care Units Female Aged Humans Machine Learning Sepsis Hospital Mortality Models, Theoretical Critical Care Aged, 80 and over Adult Male Middle Aged
View on PubMed DOI

AI in the Intensive Care Unit: Up-to-Date Review.

Journal of intensive care medicine Sep 28, 2020
AI is the latest technologic trend that likely will have a huge impact in medicine. AI's potential lies in its ability to process large volumes of data and perform complex pattern analyses. The ICU is an area of medicine that is particularly conduciv...
Humans Artificial Intelligence Intensive Care Units Sepsis
View on PubMed DOI

Application of machine learning to the prediction of postoperative sepsis after appendectomy.

Surgery Sep 18, 2020
BACKGROUND: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to evaluate utility of such methods and identify factors associated with postoperative sepsis in these...
Appendectomy Postoperative Complications Sepsis ROC Curve Models, Theoretical Public Health Surveillance Factor Analysis, Statistical Area Under Curve Disease Susceptibility Female Adult Male Humans Middle Aged Machine Learning Prognosis
View on PubMed DOI

Supervised classification techniques for prediction of mortality in adult patients with sepsis.

The American journal of emergency medicine Sep 12, 2020
BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may increase the accuracy for clinical decisions.
Sepsis Hospital Mortality Decision Making Predictive Value of Tests Aged Male Middle Aged Emergency Service, Hospital Hospitals, University Colombia Organ Dysfunction Scores Humans Artificial Intelligence Prospective Studies Prognosis Female
View on PubMed DOI

Machine learning based refined differential gene expression analysis of pediatric sepsis.

BMC medical genomics Aug 28, 2020
BACKGROUND: Differential expression (DE) analysis of transcriptomic data enables genome-wide analysis of gene expression changes associated with biological conditions of interest. Such analysis often provides a wide list of genes that are differentia...
ROC Curve Gene Regulatory Networks Computational Biology Gene Expression Profiling Transcriptome Sepsis Child Humans Machine Learning Biomarkers
View on PubMed DOI

Explainable artificial intelligence model to predict acute critical illness from electronic health records.

Nature communications Jul 31, 2020
Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these pa...
Electronic Health Records Sepsis ROC Curve Blood Pressure Area Under Curve Acute Disease Heart Rate Early Diagnosis Artificial Intelligence Prognosis Acute Kidney Injury Critical Illness Humans Acute Lung Injury
View on PubMed DOI

Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.

BioMed research international Jul 27, 2020
Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patients are difficult to diagnosis. Metabolomic changes triggered by microbial activity provide us with the possibility of accurately identifying infection....
Middle Aged Biomarkers Diagnosis, Computer-Assisted Gram-Negative Bacterial Infections Female Sepsis Humans Aged Gram-Positive Bacterial Infections Machine Learning Male Databases, Factual
View on PubMed DOI

Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept.

Scientific reports Jul 23, 2020
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsis exhibit poor performance when used in this unique population due to their underlying hypermetabolic and inflammatory response following burn injury....
Male Middle Aged Sepsis Age Factors Predictive Value of Tests Burns Models, Biological Disease-Free Survival Databases, Factual Female Adult Humans Survival Rate Machine Learning
View on PubMed DOI

The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

International journal of medical informatics May 21, 2020
BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care Units (ICUs), and timely diagnosis is crucial for treatment outcomes. The progression of electronic medical records (EMR) offers the possibility of sto...
Humans Cohort Studies Artificial Intelligence ROC Curve Algorithms Female Aged Male Sepsis Prospective Studies Prognosis Retrospective Studies Intensive Care Units
View on PubMed DOI

Implementation of an Artificial Intelligence Algorithm for sepsis detection.

Revista brasileira de enfermagem Apr 9, 2020
OBJECTIVES: to present the nurses' experience with technological tools to support the early identification of sepsis.
Program Development Humans Sepsis Artificial Intelligence Guideline Adherence Algorithms Decision Making
View on PubMed DOI
Popular Topics
Recent Journals