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Sepsis

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New Phenotypes for Sepsis: The Promise and Problem of Applying Machine Learning and Artificial Intelligence in Clinical Research.

JAMA May 28, 2019
Artificial Intelligence Machine Learning Phenotype Sepsis Humans
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Artificial Intelligence: Progress Towards an Intelligent Clinical Support System.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Apr 1, 2019
Humans Child Artificial Intelligence Intensive Care Units, Pediatric Sepsis
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Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Medicine Feb 1, 2019
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratifi...
Humans Organ Dysfunction Scores Emergency Service, Hospital Singapore Heart Rate Severity of Illness Index Sepsis Hospital Mortality Socioeconomic Factors Aged Triage Aged, 80 and over Systemic Inflammatory Response Syndrome Machine Learning Male ROC Curve Female Middle Aged Reproducibility of Results
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Artificial Intelligence Tools for Sepsis and Cancer.

JAMA Dec 11, 2018
Neoplasms Sepsis Decision Making, Computer-Assisted Humans Artificial Intelligence
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The role of presepsin in the diagnosis and assessment of severity of sepsis and severe pneumonia.

Terapevticheskii arkhiv Nov 22, 2018
AIM: The aim of this study was to evaluate marker of inflammation presepsin to improve diagnosis of severe pneumonia, sepsis.
Sepsis Adolescent Pneumonia Young Adult Peptide Fragments Humans Adult Lipopolysaccharide Receptors Biomarkers Middle Aged Aged
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Artificial Intelligence: An Inkling of Caution.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Oct 1, 2018
Child Intensive Care Units, Pediatric Humans Artificial Intelligence Sepsis
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Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Oct 1, 2018
OBJECTIVES: We used artificial intelligence to develop a novel algorithm using physiomarkers to predict the onset of severe sepsis in critically ill children.
Monitoring, Physiologic Predictive Value of Tests Heart Rate Organ Dysfunction Scores Child Intensive Care Units, Pediatric Logistic Models Respiratory Rate Machine Learning Prospective Studies Female Sepsis Adolescent Male Case-Control Studies Humans Artificial Intelligence
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Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Sepsis is a life-threatening condition caused by infection and subsequent overreaction by the immune system. Physicians effectively treat sepsis with early administration of antibiotics. However, excessive use of antibiotics on false positive cases c...
Humans Neural Networks, Computer Deep Learning Sepsis Machine Learning Electronic Health Records
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[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Jun 20, 2018
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learning method and logistic regression model. The clinical data of 157 severely burned patients in Augu...
Acute Kidney Injury Hospitalization Humans Machine Learning Explosions Sensitivity and Specificity Logistic Models Burns Fluid Therapy Sepsis Organ Dysfunction Scores ROC Curve
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Time-to-Treatment Organ Dysfunction Scores Vital Signs Blood Pressure Heart Rate Female Sex Factors Academic Medical Centers Aged Socioeconomic Factors Male Electrocardiography Time Factors Middle Aged Humans Comorbidity Critical Illness Age Factors Machine Learning Hospital Mortality Severity of Illness Index Intensive Care Units ROC Curve Sepsis Electronic Health Records Decision Support Systems, Clinical
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