AIMC Topic: Sepsis

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Septicemic Melioidosis Detection Using Support Vector Machine with Five Immune Cell Types.

Disease markers Dec 6, 2021
Melioidosis, caused by (), predominantly occurs in the tropical regions. Of various types of melioidosis, septicemic melioidosis is the most lethal one with a mortality rate of 40%. Early detection of the disease is paramount for the better chances ...
Support Vector Machine Melioidosis Sensitivity and Specificity Case-Control Studies Sepsis Humans Biomarkers
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A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Oct 25, 2021
A massive amount of multimodal data are continuously collected in the intensive care unit (ICU) along each patient stay, offering a great opportunity for the development of smart monitoring devices based on artificial intelligence (AI). The two main ...
Intensive Care Units Sepsis Critical Care Monitoring, Physiologic Humans Artificial Intelligence
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Applying artificial neural network for early detection of sepsis with intentionally preserved highly missing real-world data for simulating clinical situation.

BMC medical informatics and decision making Oct 22, 2021
PURPOSE: Some predictive systems using machine learning models have been developed to predict sepsis; however, they were mostly built with a low percent of missing values, which does not correspond with the actual clinical situation. In this study, w...
Sepsis ROC Curve Early Diagnosis Neural Networks, Computer Machine Learning Humans
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The impact of recency and adequacy of historical information on sepsis predictions using machine learning.

Scientific reports Oct 21, 2021
Sepsis is a major public and global health concern. Every hour of delay in detecting sepsis significantly increases the risk of death, highlighting the importance of accurately predicting sepsis in a timely manner. A growing body of literature has ex...
Algorithms Prognosis Sepsis Humans Machine Learning Risk
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A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients.

Frontiers in public health Oct 15, 2021
Although numerous studies are conducted every year on how to reduce the fatality rate associated with sepsis, it is still a major challenge faced by patients, clinicians, and medical systems worldwide. Early identification and prediction of patients...
Artificial Intelligence Sepsis Retrospective Studies Humans Machine Learning Intensive Care Units
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Sentiment Analysis Based on the Nursing Notes on In-Hospital 28-Day Mortality of Sepsis Patients Utilizing the MIMIC-III Database.

Computational and mathematical methods in medicine Oct 13, 2021
In medical visualization, nursing notes contain rich information about a patient's pathological condition. However, they are not widely used in the prediction of clinical outcomes. With advances in the processing of natural language, information begi...
Humans Computational Biology Natural Language Processing Databases, Factual Proportional Hazards Models Critical Care Female Middle Aged Multivariate Analysis Nursing Records Adult Aged Sepsis Prognosis Sentiment Analysis Male Aged, 80 and over Hospital Mortality Intensive Care Units
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Early Prediction of Sepsis Based on Machine Learning Algorithm.

Computational intelligence and neuroscience Oct 12, 2021
Sepsis is an organ failure disease caused by an infection resulting in extremely high mortality. Machine learning algorithms XGBoost and LightGBM are applied to construct two processing methods: mean processing method and feature generation method, a...
Sepsis Humans Machine Learning Algorithms
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Predicting bloodstream infection outcome using machine learning.

Scientific reports Oct 11, 2021
Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We de...
Bacteria Bacteremia Sepsis ROC Curve Electronic Health Records Female Aged Male Machine Learning Risk Factors Anti-Bacterial Agents Retrospective Studies Humans
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Deep-learning model for screening sepsis using electrocardiography.

Scandinavian journal of trauma, resuscitation and emergency medicine Oct 3, 2021
BACKGROUND: Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. Although sepsis is a medical emergency that requires immediate management, screening for the occurrence of sepsis is difficult. Herein, we propose a d...
Humans Deep Learning Sepsis Electrocardiography Retrospective Studies SARS-CoV-2 COVID-19
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Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables.

Computer methods and programs in biomedicine Aug 31, 2021
BACKGROUND AND OBJECTIVES: Sepsis is a severe infection that increases mortality risk and is one if the main causes of death in intensive care units. Accurate detection is key to successful interventions, but diagnosis of sepsis is complicated becaus...
Sepsis Cross-Sectional Studies Pilot Projects Humans Neural Networks, Computer Retrospective Studies Intensive Care Units Artificial Intelligence
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