AIMC Topic: Sepsis

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In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring.

IEEE transactions on biomedical circuits and systems May 10, 2023
This work presents an artificial intelligence (AI) framework for real-time, personalized sepsis prediction four hours before onset through fusion of electrocardiogram (ECG) and patient electronic medical record. An on-chip classifier combines analog ...
Signal Processing, Computer-Assisted Artificial Intelligence Electronic Health Records Sepsis Humans Electrocardiography
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A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients.

BMC medical informatics and decision making May 4, 2023
BACKGROUND: A growing body of research suggests that the use of computerized decision support systems can better guide disease treatment and reduce the use of social and medical resources. Artificial intelligence (AI) technology is increasingly being...
Artificial Intelligence Algorithms Humans Sepsis Critical Care Intensive Care Units Adult
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Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us.

Critical care medicine Apr 26, 2023
Humans Artificial Intelligence Critical Care Sepsis
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Exploring a global interpretation mechanism for deep learning networks when predicting sepsis.

Scientific reports Feb 21, 2023
The purpose of this study is to identify additional clinical features for sepsis detection through the use of a novel mechanism for interpreting black-box machine learning models trained and to provide a suitable evaluation for the mechanism. We use ...
Algorithms Deep Learning Machine Learning Sepsis Critical Care Humans
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FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices.

Sensors (Basel, Switzerland) Jan 14, 2023
The concept of the Internet of Medical Things brings a promising option to utilize various electronic health records stored in different medical devices and servers to create practical but secure clinical decision support systems. To achieve such a s...
Internet Machine Learning Electronic Health Records Deep Learning Humans Sepsis
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Database-based machine learning in sepsis deserves attention.

Intensive care medicine Jan 2, 2023
Algorithms Sepsis Attention Humans Machine Learning
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OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis Detection.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2022
Sepsis is a major public concern due to its high mortality, morbidity, and financial cost. There are many existing works of early sepsis prediction using different machine learning models to mitigate the outcomes brought by sepsis. In the practical s...
Humans Artificial Intelligence Machine Learning Sepsis Algorithms Retrospective Studies
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Identification of two robust subclasses of sepsis with both prognostic and therapeutic values based on machine learning analysis.

Frontiers in immunology Nov 25, 2022
BACKGROUND: Sepsis is a heterogeneous syndrome with high morbidity and mortality. Optimal and effective classifications are in urgent need and to be developed.
Risk Factors Machine Learning Nomograms Prognosis Sepsis Humans
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Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study.

Clinical chemistry and laboratory medicine Nov 11, 2022
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods for evaluating patients with suspected sepsis using data from routinely available blood tests performed on arrival at the hospital. Results were compar...
Bayes Theorem Humans Artificial Intelligence Sepsis Logistic Models Machine Learning
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Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital.

European journal of medical research Oct 28, 2022
Sepsis is an inflammation caused by the body's systemic response to an infection. The infection could be a result of many diseases, such as pneumonia, urinary tract infection, and other illnesses. Some of its symptoms are fever, tachycardia, tachypne...
Hospitals Sepsis Machine Learning Bayes Theorem Virginia Humans
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